Karlsson, I., Papapetrou, P., Boström, H. (2016) *Generalized Random Shapelet Forests*, *Data Mining and Knowledge Discovery*, 30(5), 1053–1085.

Knight, C.H. (2020) *Review: Sensor techniques in ruminants: more than fitness trackers*. *Animal*, 14 (S1), s187-s195.

Krid, M., Benamar, F., Lenain, R. (2017) *A new explicit dynamic path tracking controller using generalized predictive control*. *International Journal of Control, Automation and Systems*, 15(1), 303-314.

Kubicek, P., Kozel, J., Stampach, R., Lukas, V. (2013) *Prototyping the visualization of geographic and sensor data for agriculture*. *Computers and Electronics in Agriculture*, 97, 83–91.

Kumar, R., Sinhg, J. (2003) *Regional water management modeling for decision support in irrigated agriculture*. *Journal of irrigation and drainage engineering*. 129 (6), 432-439.

Lambert, M.J., Sibiry Traoré, P.C., Blaes, X., Baret, P., Defourny, P. (2018) *Estimating smallholder crops production at village level from Sentinel-2 time series in Mali's cotton belt*. *Remote Sensing of Environment*, 216, 647.

Léger, B., Naud, O. (2009) *Experimenting statecharts for multiple experts knowledge elicitation in agriculture*. *Expert Systems with Applications*, 36(8), 11296-11303.

Li, J., Jiao, X., Jiang, H., Song, J., Chen, L. (2020) *Optimization of Irrigation Scheduling for Maize in an Arid Oasis Based on Simulation–Optimization Model*. *Agronomy*, 10 (7), 935. https://doi.org/10.3390/agronomy10070935

Li, L., Li, X., Chong, C., Wang, C.-H., Wang, X. (2020) *A decision support framework for the design and operation of sustainable urban farming systems*, *Journal of Cleaner Production*, 268, 121928.

Li, M., Fu. Q., Singh, V.P., Liu, D., Li, T. (2019) *Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture*, *Advances in Water Resources*, 127, 209-224.

Lin, Y.P., Petway, J.R., Johnathen, A., Mukhtar, H., Liao, S.W., Chou, C.F., Ho, Y.F. (2017) *Blockchain: The Evolutionary Next Step for ICT E-Agriculture*, *Environments 4*, no. 3: 50.
S.M., Lee, S.I. (2017) *A Unified Approach to Interpreting Model Predictions*. NIPS, 4765-4774.

Manson, S., Jordan, N., Nelson, K., Brummel, R. (2016) *Modeling the effect of social networks on adoption of multifunctional agriculture*, *Environmental Modelling & Software*, 75, 388-401, ISSN 1364-8152.

Maqrot, S., de Givry, S., Quesnel, G., Tchamitchian, M. (2017) *A Mixed Integer Programming Reformulation of the Mixed Fruit-Vegetable Crop Allocation Problem*. In *30<sup>th</sup> International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems (IEA/AIE)*, 12 pages, Arras, France.

Martin, G., Martin-Clouaire, R., Rellier, J.-P., Duru, M. A. (2011) *Simulation framework for the design of grassland-based beef cattle farms*. *Environmental Modelling & Software*, 26, 371-385. 2011.

Martin-Clouaire, R., Rellier, J.-P. (2004) *Fondements ontologiques des systèmes pilotés*, Tech. report, 2004, Rapport Interne UBIA-INRA, Toulouse-Auzeville (dernière version : juin 2012). https://hal.inrae.fr/hal-03153904/file/Ontol-Syst-pilot.pdf.

Martin-Clouaire, R., Rellier, J.-P. (2009) *Modelling and simulating work practices in agriculture*. *International Journal of Metadata, Semantics and Ontologies*, 4(1-2):42-53.

Martin-Clouaire, R., Rellier, J.-P., Paré, M., Voltz, M., and Biarnès, A. (2016) *Modelling management practices in viticulture while considering resource limitations: the Dhivine model*. PLoS ONE 11(3), 2016.

Martin-Clouaire, R. (2017) *Modelling Operational Decision Making in Agriculture*. *Agricultural Sciences*, 8, 527-544.

McKinion, J.M., Lemmon, H.E. (1985) *Expert Systems for Agriculture*. *Computers and Electronics in Agriculture*, 1, 31-40.

Memmah, M.M., Lescourret, F., Yao, X., Lavigne, C. (2015) *Metaheuristics for agricultural land use optimization*. A review. *Agronomy for Sustainable Developement*, 35, 975-998.

Mendel, Y.G. (1907) *Recherche sur des hybrides végétaux*. Le bulletin scientifique de la France et de la Belgique, tome 41, 371-419.
Millot, A., Mathonat, R., Cazabet, R., Boulicaut, J.F. (2020) *Actionable subgroup discovery and urban farm optimization*. *International Symposium on Intelligent Data Analysis (IDA). Apr 2020, Konstanz, Germany*.

Minet, J., Curnel, Y., Gobin, A., Goffart, J.P., Mélard, F., Tychon, B., Wellens, J., Defourny, P. (2017) *Crowdsourcing for agricultural applications: A review of uses and opportunities for a farmsourcing approach*, *Computers and Electronics in Agriculture*, 142, 126-138.

Minsky, H. P. (1965) Ph.D., *The Role of Employment Policy*, Hyman P. Minsky Archive. 270.

Moummadi, M., Abidar, R., Medromi, H. (2011) *Generic model based on constraint programming and multi-agent system for M2M services and agricultural decision support*. *International Conference on Multimedia Computing and Systems*, pp. 1-6.

Nada, A., Nasr, M., Hazman, M. (2014) *Irrigation expert system for trees*. *International Journal of Engineering and Innovative Technology (IJEIT)*, 3, 170-175.

Ndiaye, S.M. (1999) *Apprentissage par renforcement en horizon fini: application à la génération de règles pour la Conduite de Culture*, Thèse de doctorat de l'Université de Toulouse 3.

O'Leary, D.E. (2008) *A multilingual knowledge management system: A case study of FAO and WAICENT*. *Decision Support Systems*, 45 (3), 641-666.

Padhy, N., Satapathy, S.C. (2020) *Digital Advancement in AgriTech by Using Evolutionary Techniques*. In: Satapathy S., Bhateja V., Mohanty J., Udgata S. (eds) *Smart Intelligent Computing and Applications. Smart Innovation, Systems and Technologies*, vol 160. Springer, Singapore.

Palpanas, T. (2000) *Knowledge discovery in data warehouses*. *ACM Sigmod Record* 29.3, 88-100.

Pappu, N., Sarkar, R., Prabhakar, T. V. (2010) *Agropedia: Humanization of Agricultural Knowledge*. *IEEE Internet Computing*, 14 (5), 57-59.

Peart, R.M., Curry R.B. (1978) *Agricultural Systems Modelling and Simulation*. Marcel Dekker, New York. CRC Press. 728 pages. ISBN 9780367400859.
Picault, S., Huang, Y.L., Sicard, V., Arnoux, S., Beaunée, G., Ezanno, P. (2019) *EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology*. PLOS Computational Biology 15(9), e1007342.

Pierpaoli, E., Carlia, G., Pignattia, E., Canavaria, M. (2013) *Drivers of Precision Agriculture Technologies Adoption: A Literature Review Procedia Technology 8* (2013) 61–69 doi: 10.1016/j.protcy.2013.11.010.

Plà-Aragonés, L. M. (Editor) (2015) *Handbook of Operations Research in Agriculture and the Agri-Food Industry*. International Series in Operations Research & Management Science book series (ISOR, volume 224), 464 p.

Plaisant, C. (2004) *The challenge of information visualization evaluation. In: Proceedings of the Working Conference on Advanced Visual Interfaces, ACM New York, NY, USA*, pp. 109–16.

Pommier, C., Michotey, C., Cornut, G., Roumet, P., Duchêne, E., Flores, R., Lebreton, A., Alaux, M., Durand, S., Kimmel, E., Letellier, T., Merceron, G., Laine, M., Guerche, C., Loaec, M., Steinbach, D., Laporte, M.A., Arnaud, E., Quesneville, H., Adam-Blondon, A.F. (2019) *Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS*. Plant Phenomics 2019, 1–15.

Reyniers, F. (1996) *Principes d'une modélisation biophysique des exploitations*. In: Couplage de modèles en agriculture. Reyniers François (ed.), Benoit-Cattin Michel (ed). CIRAD-CA. Montpellier : CIRAD, 19-21. (Colloques) ISBN 2-87614-255-4 Couplages de modèles en agriculture, Montpellier, France, 14 Juin 1995/15 Juin 1995.

Ribeiro, M.T., Singh, S., Guestrin, C. (2016) *"Why Should I Trust You?": Explaining the Predictions of Any Classifier*. KDD 1135-1144.

Rio, A., Maurel, Y., Bugni, Y., Barais, O. (2019) *Benefits of Energy Management Systems on local energy efficiency, an agricultural case study*. Proceedings of IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm 2019), Beijing, China, p1-7.

Roussey, C., Chanet, J.P., Souligne, V., Bernard, S. (2011) *Les ontologies en agriculture*. Instrumentation Mesure Metrologie 16. 55-84.

Roussey, C., Bernard, S., Pinet, F., Reboud, X., Cellier, I., Sivadon, I., Simonneau, A., Bourigault, A.L. (2017) *A methodology for the publication of agricultural alert bulletins as LOD*. Computers and Electronics in Agriculture. 142, 632-650.
Ruiz-Garcia, L., Lunadei, L. (2011) *The role of RFID in agriculture: Applications, limitations and challenges*. *Computers and Electronics in Agriculture*, 79, 42-50.

Sakoe, H., Chiba, S. (1978) *Dynamic programming algorithm optimization for spoken word recognition*. *IEEE Transactions on Acoustics, Speech and Signal Processing*, 26(1), 43-49.

Salaun, M.C., Bugeon, J., Fatet, A., Hue, I., Hurtaud, C., Nédellec, C., Vernet, J., Reichstadt, M., Le Bail, P.Y. (2018). *Un outil au service de la standardisation des bases de données: les ontologies ATOL/EOL*. Cahier des Cahier des Techniques de l'INRA, INRA, 2018, 93, 1-7.

Salim, C., Mitton, N. (2020) *K-Predictions Based Data Reduction Approach in WSN for Smart Agriculture*. *Computing*, Springer Verlag, 103 (3), 509-532.

Schmitt, M., Zhu, X. (2016) *Data Fusion and Remote Sensing: An ever-growing relationship*. *IEEE Geoscience and Remote Sensing Magazine*, 4(4), 6-23.

Sini, M., Lauser, B., Salokhe, G., Keizer, J., Katz, S. (2008) *The AGROVOC Concept Server: rationale, goals and usage*. *Library Review*, 57 (3), 200-212(13).

Soulignac, V., Pinet, F., Lambert, E., Guichard, L., Trouche, L., Aubin, S., (2017) *GECO, the French Web-based application for knowledge management in agroecology*. *Computers and Electronics in Agriculture*, 162, 1050-1056.

Spanaki, K., Sivarajah, U., Fakhimi, M., Despoudi, S., Irani, Z. (2021) *Disruptive technologies in agricultural operations: a systematic review of AI-driven AgriTech research*. *Ann Oper Res* 308 (2), 1-34.

Stefas, N., Bayram, H., Isler, V. (2019) *Vision-based monitoring of orchards with UAVs*. *Computers and Electronics in Agriculture*, 163, 104814.

Street, D. (1990). *Fisher's Contributions to Agricultural Statistics*. *Biometrics*, 46(4), 937-945.

Taillandier, P., Vo, D.A., Amouroux, E., Drogoul, A. (2010) *GAMA: a simulation platform that integrates geographical information data, agent-based modeling and multi-scale control*. *International Conference on Principles and Practice of Multi-Agent Systems*. 242-258.
Taghikhah, F., Voinov, A., Shukla, N., Filatova, T., Anufriev, M. (2021) *Integrated modeling of extended agro-food supply chains: A systems approach*, *European Journal of Operational Research*, 288 (3), 852-868.

Tonda, A., Boukhelifa, N., Chabin, T., Barnabe, M., Génot, B., Lutton, E., Perrot, N. (2018) *Interactive Machine Learning for Applications in Food Science*. *Human and Machine Learning*, 19.

Tourrette, T., Lenain, R., Rouveure, R., Solatges, T. (2017) *Tracking footprints for agricultural applications: a low cost lidar approach*, workshop on *Agricultural Robotics*, Vancouver.

Trépos, R., Lemarié, S., Raynal, H., Morison, M., Couture, S., Garcia, F. (2014) *Apprentissage par renforcement pour l'optimisation de la conduite de culture du colza*. *Presented at JFPDA'14*. Journées Francophones Planification, Décision, Apprentissage pour la conduite de système, Liège, BEL (2014-05-12 - 2014-05-13).

Tse, C., Barkema, H., DeVries, T., Rushen, J., Pajor, E. (2018) *Impact of automatic milking systems on dairy cattle producers' reports of milking labour management, milk production and milk quality*. *Animal*, 12 (12), 2649-2656.

Varenne, F., Silberstein, M. (2013). *Modéliser et simuler. Epistémologie pratique de la modélisation et de la simulation*. Tome 1. Vol. 1. Collection : Sciences & philosophie.

Vespier, U., Knobbe, A.J., Nijssen, S., Vanschoren, J. (2012) *MDL-Based Analysis of Time Series at Multiple Time-Scales*. ECML/PKDD (2) 371-386.

Wachowiak, M.P., Walters, D.F., Kovac, J.M., Wachowiak-Smolíková, R. (2017) *Visual analytics and remote sensing imagery to support community-based research for precision agriculture in emerging areas*. *Computers and Electronics in Agriculture*, 143, 149-164.

Wolf, P., Ropertz, T., Feldmann, P., Berns, K. (2019) *Combining Onthologies and Behavior-based Control for Aware Navigation in Challenging Off-road Environments*. In ICINCO (2) Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics, Prague, Czech Republic (pp. 135-146).

Xiao, G., Calvanese, D., Kontchakov, R., Lembo, D., Poggi, A., Rosati, R., Zakharyaschev, M. (2018) *Ontology-Based Data Access: A Survey*. IJCAI, 5511-5519.
Yandun, F. J., Gregorio López, E., Rosell Polo, J. R., Torres-Torriti, M., & Auat Cheein, F. A. (2017) *Terrain classification using ToF sensors for the enhancement of agricultural machinery traversability*. *Journal of Terramechanics*, **76** 1-13.

Zabala, J., Martínez-Paz, J., Alcon, F. (2021) *A comprehensive approach for agroecosystem services and disservices valuation*, *Science of The Total Environment*, **768**, 144859.

Zhao, J.C., Zhang, J.U., Feng, Y. and Guo, J.X. (2010) *The study and application of the IOT technology in agriculture*, *International Conference on Computer Science and Information Technology*, Chengdu, 462-465.

Zhu, X.X., Tuia, D., Mou, L., Xia, G., Zhang, L., Xu, F., Fraundorfer, F. (2017) *Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources*. *IEEE Geoscience and Remote Sensing Magazine*, **5** (4), 8-36.

Zeigler, B. P., Praehofer, H. T., Kim, G. (2000) *Theory of Modeling and Simulation*. 2nd ed. Orlando, FL, USA: Academic Press.

Zelinka, I., Snasael, V. and Abraham, A. (Editor) (2013) *Handbook of Optimization: From Classical to Modern Approach* (*Intelligent Systems Reference Library*, 38), Springer, 1112 p.

## CHAPITRE 4

Adams, M.L., Cook, S.E. (1997) *Methods of on-farm experimentation using precision agriculture technology* – *American Society of Agricultural Engineers Proceedings of the 1997 ASAE Annual International Meeting. Part 1*, Minneapolis (MN, USA) 10-14 August 1997; Code 48254; 10p.

Altieri, M.A. (1989) *Agroecology: A new research and development paradigm for world agriculture*. *Ecosystems & Environment*, **27** (1-4), 37-46.

Altieri, M.A., Funes-Monzote, F.R., Petersen, P. (2012) *Agroecologically Efficient Agricultural Systems for Smallholder Farmers: Contributions to Food Sovereignty*. *Agronomy for Sustainable Development*, **32**, 1-13.

Anderson, C. (2012) *Makers: la nouvelle révolution industrielle*, Paris, Pearson, 309 p.

ANRT (2018) *Pour une politique industrielle du numérique*, Livre blanc. 56 p. disponible sur [politique-industrielle-numerique_futuris-anrt-web.pdf](https://anrtweb.org/en/pour-un-e Politique-industrielle-du-numerique-futuris-anrt-web.pdf).
Antle, J.M., Basso, B., Conant, R.T., Godfray, H.C.J., Jones, J.W., Herrero, M., Howitt, R.E., Keating, B.A., Munoz-Carpena, R., Rosenzweig, C., Tittonell, P., Wheeler, T.R. (2017) *Towards a new generation of agricultural system data, models and knowledge products: Design and improvement*. Agricultural Systems 155, 255–268.

Banque Mondiale, 2019, *Future of Food: Harnessing Digital Technologies to Improve Food System Outcomes*. World Bank, Washington, DC, 44 pages. https://openknowledge.worldbank.org/handle/10986/31565.

Barreteau, O. (2003) *Our companion modelling approach*. Journal of Artificial Societies and Social Simulation. 6 (2), 8 p.

Bécu, N., Neef, A., Schreinemachers, P., Sangkapitux, C. (2008) *Participatory computer simulation to support collective decision-making: potential and limits of stakeholder involvement*. Land Use Policy, 25 (4), 498–509.

Bellon-Maurel, V., Huyghe, C. (2016) *L'innovation technologique dans l'agriculture*. Géoéconomie 80 – mai/juin 2016, 159-180.

Bellon-Maurel, V., Neveu, P., Termier, A., Garcia, F. (2018) *Le Big Data en agriculture*. Annales des Mines – Enjeux numériques 2, 77-81.

Bellon-Maurel, V., Short, M.D., Roux, P., Schulz, M., Peters, G.M. (2014) *Streamlining life cycle inventory data generation in agriculture using traceability data and information and communication technologies – Part I: Concepts and technical basis*, Journal of Cleaner Production, 69, 60–66.

Bellon-Maurel, V., Peters, G., Clermidy, S., Frizarin, G., Sinfort, C., Ojeda, H., Roux, P., Short, M. (2015) *Streamlining life cycle inventory data generation in agriculture using traceability data and information and communication technologies Part II: Application to viticulture*. Journal of Cleaner Production. 87 (1), 119-129.

Benjamin, M., Yik, S. (2019) *Precision livestock farming in swine welfare: a review for swine practitioners*. Animals, 9, 133.

Bentley, J.W., Van Mele, P., Barres, N.F., Okry, F., Wanvoeke, J. (2019) *Smallholders download and share videos from the Internet to learn about sustainable agriculture*. International Journal of Agricultural Sustainability, 17 (1), 92-107.
Bergez, J.-E., Soulignac, V., Pinet, F., Gobert, J. (2016) Workshop 4.3: ICT to help on participatory approaches for the agroecological transition of agriculture, in Social and Technological Transformation of Farming Systems: Diverging and Converging Pathways. *Proceedings of the 12th European IFSA Symposium, 12th - 15th July 2016 at Harper Adams University, United Kingdom*, Volume 2, Andrew Wilcox and Karen Mills (Eds.).

Bergez, J.-E., Therond, O. (2019) Introduction in Bergez, J.-E., Audouin, E., Therond, O., Eds. (2019) *Agroecological Transitions: From Theory to Practice in Local Participatory Design*, Springer (Open), https://doi.org/10.1007/978-3-030-01953-2_1, 335 pp., pp 3-12.

Bioteau, T., Béline, F., Laurent, F., Girault, R., Tretyakov, O., Boret, F., Balynska, M. (2013) *Analyse spatialisée pour l'aide à la planification des projets de méthanisation collective*, Sciences Eaux & Territoires 3 (12), 34-41.

Biradar, C.M., Ghosh, S., Löw, F., Singh, R., Chandna, P., Sarker, A., Sahoo, R.N., Swain, N., Choudhury, G., Agrawal, S., Rizvi, N., El-Shamaa, K., Atassi, L., Dong, J., Gaur, A., Wery, J. (2019) *Geo big data and digital augmentation for accelerating agroecological intensification in drylands*. 2019 ISPRS-GEOGLAM-ISRS Joint International Workshop on Earth Observations for Agricultural Monitoring, New Delhi (India) 18-20 Feb 2019, 42 (Issue 3/W6) 545-548. Code 150236.

Bonnet, P., Faye, E., Roche, M. (2019). *Éviter une valorisation technologique et économique asymétrique des big data*. Wageningen: SPORE, CTA, 2 pages. https://spore.cta.int/fr/opinions/article/eviter-une-valorisation-technologique-et-economique-asymétrique-des-big-data-sid0726bd8f1-b891-47fc-8993-87861c5806dd.

Bonny, S. (2017). *High-tech agriculture or agroecology for tomorrow's agriculture?* *Harvard College Review of Environment & Society*, 2017, 4 (Spring 2017), pp.28-34.

Brydegaard, M., Gebru, A., Svanberg S. (2014) *Super Resolution Laser Radar with Blinking Atmospheric Particles – Application to Interacting Flying Insects*. Progress In Electromagnetics Research, 147, 141-151.

Calvet-Mir, L., Benyei, P., Aceituno-Mata, L., Pardo-de-Santayana, M., López-García, D., Carrascosa-García, M., Perdomo-Molina, A., Reyes-García, V. (2018) *The contribution of traditional agroecological knowledge as a digital commons to agroecological transitions: The case of the CONECT-e platform*. Sustainability (Switzerland) 10 (9), 3214.
Caquet, T., Gascuel, C., Tixier-Boichard, M. Eds. (2020) *Agroécologie: des recherches pour la transition des filières et des territoires*. Ed Quae, Collection: Matière à débattre et décider, 104 p.

Chastant-Maillard, S., Saint-Dizier, M. (2016) *Élevage de précision*. Éditions La France Agricole, Paris, 270 p.

Chowdhary, G., Gazzola, M., Krishnan, G., Soman, C., Lovell, S. (2019) *Soft Robotics as an Enabling Technology for Agroforestry Practice and Research*. Sustainability, 11, 6751.

Claquin, P., Martin, A., Deram, C., Bidaud, F., Delgoulet, E., Gassie, J., Hérault, B. (2017) *MOND'Alim 2030, panorama prospectif de la mondialisation des systèmes alimentaires*, Paris, La Documentation française, 228 p.

Cloet, E., Brocard, V., Lessire, F., Guiocheau, S. (2017) *Maximizing grazing with a mobile milking robot. In Precision Livestock Farming* '17, 28-34. Disponible sur demande à: https://orbi.uliege.be/handle/2268/229020.

Cook, S., Cock, J., Oberthür, T., Fisher, M. (2013) *On farm experimentation*. Better Crops/Vol. 97 (4), pp.16-20.

Deichmann, U., Goyal, A., Mishra, D. (2016) *Will Digital Technologies Transform Agriculture in Developing Countries? Policy Research Working Paper; No. 7669*. World Bank, Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/24507.

De Leeuw, J., Vrieling, A., Shee, A., Atzberger, C., Hadgu, M.K., Biradar, M.C., Keah, H., Turvey, C. (2014) *The potential and uptake of remote sensing in insurance: a review*. Remote Sensors, 6, 10888-10912.

Della Chiesa, S., la Cecilia, D., Genova, G., Balotti, A., Thalheimer, M., Tappeiner U., Niedrist, G. (2019) *Farmers as data sources: Cooperative framework for mapping soil properties for permanent crops in South Tyrol (Northern Italy)*. Geoderma, (342), 93-105.

Dhiab, H., Labarthe, P., Laurent, C. (2020). *How the performance rationales of organisations providing farm advice explain persistent difficulties in addressing societal goals in agriculture*. Food Policy, 101914.

Di Salvo, C. (2014) *Critical Making as Materializing the Politics of Design*. The Information Society, 30, 96-105.
Divya, B., Santhi, M. (2019) SVM-based pest classification in agriculture field. *International Journal of Recent Technology and Engineering*, 7 (5) 150-155.

Duru, M., Therond, O., Fares, M. (2015) *Designing agroecological transitions: a review*. *Agron Sustain Dev.* 35, 1237-1257.

El Hassane, A., Kadiri, Z., Kuper, M., Quarouch, H. (2015) *Composer avec l'État: voies d'engagement des jeunes diplômés dans l'agriculture au Maroc*. Cahiers de l'Agriculture, 24 (6), 356-36.2.

Elijah, O., Rahman, T.A., Orikumhi, I., Leow, C.Y., Hindia, M.N. (2018) *An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges*. *IEEE Internet of Things Journal*, 5 (5), 3758-3773.

Enkel, E., Bogers, M., Chesbrough, H. (2020) *Exploring open innovation in the digital age: A maturity model and future research directions*. *R and D Management*, 50 (1), 161-168.

Falconnier, G.N., Descheemaeker, K., Mourik, T.A.V., Giller, K.E., (2016) *Unravelling the causes of variability in crop yields and treatment responses for better tailoring of options for sustainable intensification in southern Mali*. *Field Crops Res.* 187, 113-126.

FAO (2020). *Realizing the potential of digitalization to improve the agri-food system: Proposing a new International Digital Council for Food and Agriculture*. A concept note. IT Division. Rome, Food and Agriculture Organization of the United Nations.

Fielke, S. J., Garrard, R., Jakku, E., Fleming, A., Wiseman, L., & Taylor, B. M. (2019) *Conceptualising the DAIS: Implications of the “Digitalisation of Agricultural Innovation Systems” on technology and policy at multiple levels*. *NJAS-Wageningen Journal of Life Sciences*, 90, 100296.

Fielke, S., Taylor, B., & Jakku, E. (2020) *Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review*. *Agricultural Systems*, 180, 102763.

Fountas, S., Carli, G., Sorensen, C. G., Tsiropoulos, Z., Cavalaris, C., Vatsanidou, A., Liakos, B., Canavari, M., Wiebensohn, J., Tisseyre, B. (2015) *Farm management information systems: Current situation and future perspectives*. *Computers and electronics in agriculture*, 115, 40-50.
Fournel, S., Rousseau, A.N., Laberge B. (2017) *Rethinking environment control strategy of confined animal housing systems through precision livestock farming*. *Biosystems Engineering*, 155, 96-123.

Galliano, D., Orozco, L. (2011) *The determinants of electronic traceability adoption: a firm-level analysis of French agribusiness*. *Agribusiness*, Wiley, 27 (3), 379-397.

Gardner, T.A., Benzi, M., Börner, J., Dawkins, E., Fick, S., Garrett, R., Godar, J., Grimard, A., Lake, S., Larsen, R.K., Mardas, N., Dermott, C.L.M., Meyfroidt, P., Osbeck, M., Persson, M., Sembres, T., Suavet, C., Strassburg, B., Wolvekamp, P. (2019) *Transparency and sustainability in global commodity supply chains*. *World Development*, 121, 163-177.

Ghahari, A., Newlands, N.K., Lyubchich, V., Gel, Y.R. (2019) *Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes*. *North American Actuarial Journal*, 23 (4) 535-550.

Gopalakrishnan, P. K., Behdad, S. (2019) *A Conceptual Framework for Using Videogrammetry in Blockchain Platforms for Food Supply Chain Traceability*. *International Design Engineering Technical Conferences and Computers and Information in Engineering Conference*, 59223, 12..

Grieve, B.D., Duckett, T., Collison, M., Boyd, L., West, J., Yin, H., Arvin, F., Pearson, S. (2019) *The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required*. *Global Food Security*, 23, 116-124.

Groot, J.C.J., Jellema, A., Rossing, W.A.H. (2010) *Designing a hedgerow network in a multifunctional agricultural landscape: balancing trade-offs among ecological quality, landscape character and implementation costs*. *European Journal of Agronomy*, 32 (1) 112-119.

Groot, J.C.J., Oomen, G.J.M., Rossing, W.A.H. (2012) *Multi-objective optimization and design of farming systems*. *Agricultural Systems*, 110, 63-77.

Labarthe, P. (2009) *Extension services and multifunctional agriculture. Lessons learnt from the French and Dutch contexts and approaches*. *Journal of environmental management*, 90, S193-S202.

Halachmi, I., Guarino, M., Bewley, J., Pastell, M. (2019) *Smart Animal Agriculture: Application of real-time sensors to improve animal well-being and production*, Annual Review of Animal Biosciences, 7, 403-425.
Ingrand, S. (2018) *Opinion paper: "monitoring te salutant": combining digital sciences and agro-ecology to design multi-performant livestock farming systems*. *Animal* **12**, 2-3.

IPES-Food (2016) *De l'uniformité et la diversité: Changer de paradigme pour passer de l'agriculture industrielle à des systèmes agroécologiques diversifiés*. Rapport, Frison E.A. Eds., 110 p. http://www.ipes-food.org/img/upload/files/UniformityToDiversity_FULL.pdf.

Jiménez, D., Pérez-Uribe, A., Satizábal, H., Barreto, M., Van Damme, P., Tomassini, M. (2008) *A survey of artificial neural network-based modeling in agroecology*. *Studies in Fuzziness and Soft Computing*, **226**, 247-269.

Johannes, A., Picon, A., Alvarez-Gila, A., Echazarra, J., Rodriguez-Vaamonde, S., Navajas, A.D., Ortiz-Barredo, A. (2017) *Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case*, *Computers and Electronics in Agriculture*, **138**, 200-209.

Jouanjean, M.A. (2019) *Digital opportunities for trade in the agriculture and food sectors*. *OECD Food, Agriculture and Fisheries* **122**.

Kadish, D., Dulic, A. (2015) *Crafting sustainability: approaching wicked environmental problems through high-low tech practice*. *Digital Creativity* **26**(1), 65-81.

Klerkx, L., Jakku, E., Labarthe, P. (2019) *A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda*, NJAS – Wageningen Journal of Life Sciences 90-91, nr 100315.

Klerkx, L., Rose, D. (2020) *Dealing with the game-changing technologies of Agriculture 4.0: How do we manage diversity and responsibility in food system transition pathways?* *Global Food Security*, **24**, nr 100347.

Knight, C.H. (2020) *Review: Sensor techniques in ruminants: more than fitness trackers*. *Animal*, **14** (S1), s187-s195.

Kos, D., Kloppenburg, S. (2019) *Digital technologies, hyper-transparency and smallholder farmer inclusion in global value chains*. *Current Opinion in Environmental Sustainability*, **41**, 56-63.

Leclère, M., Loyce, C., Jeuffroy, M.-H. (2018) *Growing camelina as a second crop in France: a participatory design approach to produce actionable knowledge*. *European Journal of Agronomy*, **101**, 78-89.
Leibovici, P.E. (2015) *La plate-forme, nouvelle frontière de l'économie*. Les Echos 12 Nov 2015. Acc le 10 Aout 2020 sur https://www.lesechos.fr/2015/11/la-plate-forme-nouvelle-frontiere-de-leconomie-280276.

Lemeilleur, S., Allaire, G. (2020) *Système participatif de garantie dans les labels du mouvement de l'agriculture biologique. Une réappropriation des communs intellectuels*, Économie Rurale, 365, Juillet-septembre, 7-26.

Lepenioti, K., Bousdekis, A., Apostolou, D., Mentzas, G. (2020) *Prescriptive analytics: Literature review and research challenges*. International Journal of Information Management, 50, 57-70.

Leveau, L., Bénel, A., Cahier, J.P., Pinet, F., Salembier, P., Soulignac, V., Bergez, J.E. (2019) *Information and Communication Technology (ICT) and the Agroecological Transition*. In Bergez, J.-E., Audouin, E., Therond, O., Eds. (2019) *Agroecological Transitions: From Theory to Practice in Local Participatory Design*, Springer, https://doi.org/10.1007/978-3-030-01953-2_1, 335 pp.

Li, N., Ren, Z., Li, D., Zeng, L. (2020) *Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: Towards the goal of precision livestock farming*. Animal, 14 (3), 617-625.

Lixi, M., Dahan, M. (2014) *ICT as an Enabler of Transformation in Ethiopia*. World Bank, Washington, DC. © World Bank https://openknowledge.worldbank.org/handle/10986/20076.

López, O., Martinez, M., Migallon, H., Malumbres, M., Bonastre, A., Serrano, J.J. (2012) *Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies*, Sensors, 12(11), 15801-15819.

Lowder, S. K., J. Skoet, et al. (2016) *The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide*. World Development, 87, 16-29.

Luvisi, A. (2016) *Electronic identification technology for agriculture, plant, and food*. A review. Agronomy for sustainable development, 36 (1), 1-14.

Mattia, C.M., Lovell, S.T., Davis, A. (2018) *Identifying barriers and motivators for adoption of multifunctional perennial cropping systems by landowners in the Upper Sangamon River Watershed, Illinois*. Agroforestry Systems. 92(5), 1155-1169.

Messmer, J.G. (2013) *Les circuits courts multiacteurs : émergence d'organisations innovantes dans les filières courtes alimentaires*. Rapport INRA - MaR/S, 669p.
Meynard, J.-M. (2017) *Agroecology, a new relationship to knowledge and innovation, OCL - Oilseeds and fats*, Crops and Lipids, 24 (3), Article number D303.

Miah, J.H., Griffiths, A., McNeill, R., Halvorson, S., Schenker, U., Espinoza-Orias, N., Morse, S., Yang, A.D. (2018) *A framework for increasing the availability of life cylce inventory data-based on the role of multinational companies*. *International Journal of Life Cycle Analysis*, 23 (9), 1744-1760.

Milgroom, J., Bruil J., De Leeuwis C. (2016) *Co-creation in the practice, science and movement of agroecology*. Farming Matters 32:6-8, disponible à [https://www.ileia.org/2016/03/23/editorial-co-creation-practice-science-movement-agroecology/](https://www.ileia.org/2016/03/23/editorial-co-creation-practice-science-movement-agroecology/)

Mol, A. P. J., Oosterveer, P. (2015) *Certification of markets, markets of certificates: Tracing sustainability in global agro-food value chains*. Sustainability (Switzerland), 7(9), 12258-12278.

Molden, D. (2007) *Water for Food, Water for Life: A Comprehensive Assessment of Water Management in agriculture*. International Water Management Institute, Earthscan, London, 645 pp.

Moura, D.J., Silva, W.T., Naas, I.A., Tolón, Y.A., Lima, K.A.O., Vale, M.M. (2008) *Real time computer stress monitoring of piglets using vocalization analysis*. *Computers and Electronics in Agriculture*, 64 (1), 11-18.

Mul, M.F., Ploegaert, J.P.M., George, D.R., Meerburg, B.G., Dicke, M., Groot Koerkamp, P.W.G. (2016) *Structured design of an automated monitoring tool for pest species*. *Biosystems Engineering*, 151, 126-140.

Neethirajan, S. (2017) *Recent advances in wearable sensors for animal health management*. *Sensing and Bio-Sensing Research*, 12, 15-29.

OCDE (2011) *Payer pour la biodiversité : améliorer l'efficacité coût des paiements pour services écosystémiques*, Éditions OCDE, [https://www.oecd.org/fr/env/ressources/46900333.pdf](https://www.oecd.org/fr/env/ressources/46900333.pdf).

Panten, K., Bramley, R.G.V., Lark, R.M., Bishop, T.F.A. (2010) *Enhancing the value of field experimentation through whole-of-block designs*. *Precision Agriculture*, 11 (2) 198-213.

Pesche, D., Losch, B. Imbernon, J. (dir.) (2016) *Une nouvelle ruralité émergente. Regards croisés sur les transformations rurales africaines*. Atlas pour le Programme Rural Futures du NEPAD, deuxième édition revue et augmentée, Montpellier, Cirad, NEPAD, 76 p.
Pham, X., Stack, M. (2018) *How data analytics is transforming agriculture*. *Business Horizons*, 61(1) 125-133.

Piepho, H.-P., Richter, C., Spilke, J., Hartung, K., Kunick, A., Thöle, H. (2011) *Statistical aspects of on-farm experimentation*. *Crop and Pasture Science*, 62 (9) 721-735.

Pingali, P.L. (2012). *Green revolution: impacts, limits, and the path ahead*. *Proc. Natl. Acad. Sci. U. S. A.*, 109 (31), 12302–12308.

Prada, R., Prendinger, H., Yongyuth, P., Nakasoneb, A., Kawtrakulc, A. (2014) *AgriVillage: A game to foster awareness of the environmental impact of agriculture*, Computers in Entertainment 12(2), 1-18.

Rao, K.N. (2010) *Index based crop insurance*. *Agriculture and Agricultural Science Procedia*, 1, 193-203.

Reckling, M., Bergkvist, G., Watson, C.A., Stoddard, F.L., Bachinger, J. (2020) *Re-designing organic grain legume cropping systems using systems agronomy*. *European Journal of Agronomy*, 112.

Renting, H., Oostindie, H., Laurent, C., Brunori, G., Barjolle, D., Jervell, A., Granberg, L., Heinonen, M. (2008) *Multifunctionality of agricultural activities, changing rural identities and new institutional arrangements*. *International Journal of Agricultural Resources, Governance and Ecology*, 7(4), 361-385.

Reynolds, D., Baret, F., Welcker, C., Bostrom, A., Ball, J., Cellini, F., Lorence, A., Chawade, A. Khafif, M., Noshita, K., Mueller-Linow, M., Zhou, J., Tardieu, F. (2019) *What is cost-efficient phenotyping? Optimizing costs for different scenarios*. *Plant Science*, Elsevier, 282, 14-22.

Rey-Valette, H., Pinto, M., Maurel, P., Chia, E., Guiheneuf, P.Y., Michel, L., Nougaredes, B., Soulard, C., Jarrige, F., Guillemot, C., Mate, M.S., Ollagnon, H., Delorme, G., Prouheze, N., Laurent, A., Suita, L.A., Bertrand, J., Dieudonne, C., Champorigaud, A., Barbe, E. (2011) *Guide pour la mise en œuvre de la gouvernance en appui au développement durable des territoires*, Montpellier, INRA Éditions. 155pp.

Rieutort, L. (2009) *Dynamique rurales françaises et re-territorialisation de l'agriculture*, L'information géographique, 73, 30-48.
Rotz, S., Duncan, E., Small, M., Botschner, J., Dara, R., Mosby, I., Reed, M., Fraser, E.D.G. (2019) *The Politics of Digital Agricultural Technologies: A Preliminary Review*. Sociologia Ruralis, 59 (2), 203-229.

Rowe, E., Stamp Dawkins, M., Gebhardt-Henrich, S.G. (2019) *A systematic review of precision livestock farming in the poultry sector: is technology focussed on improving bird welfare? Animals*, 9, 614.

Sharma Ghimire, P., Tripathee, L., Chen, P., Kang, S. (2019) *Linking the conventional and emerging detection techniques for ambient bioaerosols: a review*. *Reviews in Environmental Science and Biotechnology*, 18(3), 495-523.

Schmidt, P., Möhring, J., Koch, R.J., Piepho, H.-P. (2018) *More, larger, simpler: how comparable are on-farm and on-station trials for cultivar evaluation?* Crop Sciences, 58, 1508-1518.

Schnebelin, E., Labarthe, P., Touzard J.M. (2021). *How digitalisation interacts with ecologisation? Perspectives from actors of the French Agricultural Innovation System*. *J. of Rural Studies*, 46, 599-610.

Schultz, A., Wieland, R., Lutze, G. (2000) *Neural networks in agroecological modelling - Stylish application or helpful tool?* Computers and Electronics in Agriculture, 29 (1-2) 73-97.

Seaborn, K., Fels, D.I. (2015) *Gamification in theory and action: A survey*; International Journal of Human Computer Studies, 74, 14-31.

Shalloo, L., O'Donovan, M., Leso, L., Wener, J., Ruelle, E., Geoghegan, A., Delaby, L., O'Leary, N. (2018) *Review: Grass-based dairy systems, data and precision technologies*. Animal, 12 (S2), 262-271.

Speelman, E.N., García-Barrios, L.E., Groot, J.C.J., Tittonell, P. (2014) *Gaming for smallholder participation in the design of more sustainable agricultural landscapes*, Agricultural Systems, 126, 62-75.

Tirole, J. (2016) *Économie du bien commun, Chap. 14 Quand le digital modifie la chaîne de valeur*, Paris, PUF.

Tixier, P., Peyrard, N., Aubertot, J.-N., Gaba, S., Radoszycki, J., Caron-Lormier, G., Vinatier, F., Mollot, G., Sabbadin, R. (2013) *Modelling interaction networks for enhanced ecosystem services in agroecosystems*. Advances in Ecological Research 49, 437-480.
Tsan, M., Totapally, S., Hailu, M., Addom, B.K. (2019) *The Digitalisation of African Agriculture Report*, 2018-2019, CTA, https://www.cta.int/en/digitalisation/issue/the-digitalisation-of-african-agriculture-report-2018-2019-sid0d88610e2-d24e-4d6a-8257-455b43cf5ed6.

Tullo, E., Borgonovo, F., Grilli, G., Micheletti, A., Aletti, G., Lolli, S., Guarino, V.F.M. (2018) *Application of an early warning to detect enteropathies in intensive broiler farming*. In:10^th^ International Livestock Environment Symposium, ILES 2018; Omaha (United States), 25-27 September 2018, p. 2-6. https://doi.org/10.13031/iles.ILES18-073.

Van der Burg, S., Bogaardt, M.-J., Wolfert, S. (2019) *Ethics of smart farming: current questions and directions for responsible innovation towards the future*. Njas -Wageningen J. Life Sci. 90-91, 100289.

Van Hirtum, A., Berckmans, D. (2004) *Objective recognition of cough sound as a biomarker for aerial pollutants*. Indoor Air 14, 10-15.

Vanloqueren, G., Baret, P. (2009) *How agricultural research systems shape a technological regime that develops genetic engineering but locks out agroecological innovations*. Research Policy, 38, 971-983.

Vasconez, J.P., Kantor, G.A., Auat Cheein, F.A. (2019) *Human-robot interaction in agriculture: A survey and current challenges*. Biosystems Engineering 179, 35-48.

Veissier, I., Kling-Eveillard, F., Mialon, M.-M., Silberberg, M., De Boyer des Roches, A., Terlouw, C., Ledoux, D., Meunier, B., Hostiou, N. (2019) *Élevage de précision et bien-être en élevage : la révolution numérique de l'agriculture permettra-t-elle de prendre en compte les besoins des animaux et des éleveurs*. INRA Productions Animales, 32 (2), 281-290.

Vrieling, A., Meroni, M., Shee, A., Mude, A.G., Woodard, J., de Bie, C.A.J.M. (2014) *Historical extension of operational NDVI products for livestock insurance in Kenya*. Int. J. Appl. Earth Obs. Geoinf. 28, 238-251.

Vroege, W., Dalhaus, T., Finger, R. (2019) *Index insurances for grasslands – A review for Europe and North-America*. Agricultural Systems, 168, 101-111.

Wegener, J.K., Urso, L.M., von Hörsten, D., Minßen, T.F., Gaus, C.G. (2017) *Developing new cropping systems – which innovative techniques are required?*. Landtechnik, 72(2), 91-100.
Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.J. (2017) Big Data in smart farming—a review. *Agricultural Systems*, 153, 69-80.

Wyckhuys, K.A.G., Bentley, J.W., Lie, R., Nghiem, L.T.P., Fredrix, M. (2018) *Maximizing farm-level uptake and diffusion of biological control innovations in today's digital era*. *BioControl*, 63 (1) 133-148.

Xin, H., Liu, K. (2017) *Precision livestock farming in egg production*. *Animals Frontiers*, 27 (1), 24-31.

## CHAPITRE 5

Allen, T. F. H., Taintier, J. A., & Hoekstra, T. W. (1999) *Supply-Side Sustainability*. Systems Research and Behavioral Science, 16(5), 403-427.

Arthur, WB. (1994) *Increasing returns and path dependence in the economy*. Ann Arbor, Michigan: University of Michigan Press (*Economics, Cognition, and Society*), 224 p.

Blandin, M.-C. (2016) *100 millions de téléphones portables usagés : l'urgence d'une stratégie*. Rapport d'information n° 850 (2015-2016), mission d'information du Sénat.

Bos, J., Bovenkerk, B., Feindt, P., Dam, Y. (2018) *The Quantified Animal: Precision Livestock Farming and the Ethical Implications of Objectification*. *Food Ethics*. 2.

Bouissou, J. et Albert, E. (2021) *Bois, cuivre, puces électroniques... La planète touchée par une pénurie de biens*. *Le Monde*, 14 mai 2021.

Boullier, D. (2019) *Sociologie du numérique*. Paris : Armand Colin.

Bournigal, J.-M. (2014) *Définir ensemble le futur du secteur des agroéquipements*. Rapport de la mission Agroéquipements.

Bowler (1986) *Intensification, concentration and specialisation in agriculture: the case of the European Community*. *Geography* 71 (1), 14-24.

Bronson, K., Knezevic, I. (2016) Big Data in food and agriculture. Big Data & Society, 3(1), 1-5.

Brue, S. L. (1993) *Retrospectives: The Law of Diminishing Returns*. *Journal of Economic Perspectives*, 7(3), 185-192.
Burton, R. J., Riley, M. (2018) *Traditional Ecological Knowledge from the internet? The case of hay meadows in Europe*. Land Use Policy, 70, 334-346.

Busse, M., Schwerdtner, W., Siebert, R., Doernberg, A., Kuntosch, A., König, B., Bokelmann, W. (2015) *Analysis of animal monitoring technologies in Germany from an innovation system perspective*. Agricultural Systems, 138, 55-65.

Carbonell, I. (2016) *The ethics of big data in big agriculture*. Internet Policy Review, 5(1), 1-13.

Carolan, M. (2020) *Acting like an algorithm: digital farming platforms and the trajectories they (need not) lock-in*. Agriculture and Human Values, 37 (4), 1041-1053.

Chambaz, G. (2019) *The Evolutionary Dynamics of Societies: Critical Synthesis of the Work of J.A. Taintier et al. On Sustainability, Collapse, Resilience and Energy Transitions, Master's thesis*. Université de Lausanne.

Clap, J., Ruder, S.-L. (2020) *Precision Technologies for Agriculture: Digital Farming, Gene-Edited Crops, and the Politics of Sustainability*. Global Environmental Politics, 20 (3), 49-69.

David, P. (1985) *Clio and the Economics of QWERTY*. The American Economic Review, Vol. 75, No. 2, Papers and Proceedings of the Ninety-Seventh Annual Meeting of the American Economic Association, 332-337.

Deléage, E. (2013) *Agricultures à l'épreuve de la modernisation*. Paris, Éditions Quæ, « Synthèses », 95 p.

Delannoy, L., Longaretti, P.-Y., Murphy, D. et Prados, E. (2021). *Peak oil and the low-carbon energy transition: a net energy perspective*. Applied Energy, Elsevier, 304, 1-17.

Dhar, P. (2021) *Cybersecurity Report: “Smart Farms” Are Hackable Farms, in IEEE Spectrum – Risk Factor, March 15*. https://spectrum.ieee.org/riskfactor/telecom/security/cybersecurity-report-how-smart-farming-can-be-hacked

Elhefnawy, N. (2004) *Societal Complexity and Diminishing Returns in Security*. International Security, 29(1), 152-174.

Elhefnawy, N. (2008) *A Long-Term Trend Toward the Depletion of Fiscal-Macroeconomic Slack in the World Economy? (SSRN Scholarly Paper ID 3182381)*. Social Science Research Network.
Ellul, J. (1977) *Le Système technicien*. Paris, Calmann-Lévy.

Fielke, S., Taylor, B., Jakku, E. (2020) *Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review*. *Agricultural Systems*, 180, 102763.

Gupta, M., Abdelsalam, M., Khorsandroo, S., Mittal, S. (2020) *Security and Privacy in Smart Farming: Challenges and Opportunities*, IEEE Access, 8, 34564-34584.

Isaac, H., Pouyat, M. (2015) *Les défis de l'agriculture connectée dans une société numérique. 16 propositions pour repenser la production, la distribution et la consommation alimentaires à l'ère du numérique*. Livre Blanc Renaissance Numérique.

Javelle, A., Kazic, D., Tassin, J. (2021) *Introduction au dossier Repenser Le Statut Des Plantes, La pensée écologique*, Presses Universitaires de France.

Klerkx, L., Jakku, E., Labarthe, P. (2019) *A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda*. *NJAS-Wageningen Journal of Life Sciences*, 90.

Labarthe, P. (2010) *Services immatériels et verrouillage technologique. Le cas du conseil technique aux agriculteurs*. Économies et sociétés, 44(2), 173-96.

Lagneaux, S., Servais, O. (2014) *De la traite robotisée au raid d'avatars*. *Incorporation et virtualisation*. *Parcours anthropologiques*, 9, 73-101.

Larrère, C., Larrère, R. (1997) « *Le contrat domestique* », Le courrier de l'environnement, n° 30 http://www7.inra.fr/dpenv/larrec30.htm.

Longuet, G. (2019) *Le devoir de souveraineté numérique*, Rapport fait au nom de la commission d'enquête du Sénat, n° 7 tome I (2019-2020).

Marquet, K., Combaz, J., Berthoud, F. (2019) *Introduction aux impacts environnementaux du numérique*. 1024, bulletin de la Société Informatique de France, 85-97.

Meuret, M., Tichit, M., Hostiou, N. (2013) *Élevage et pâturage « de précision » : l'animal sous surveillance électronique*. Courrier de l'environnement de l'INRA (63): 13-24.

Meynard, J.-M., Charrier, F., Fares, M., Le Bail, M., Magrini, M.B., Charlier, A., Messéan, A. (2018) *Socio-technical lock-in hinders crop diversification in France*. *Agronomy for Sustainable Development*. 38, 54.
Miles, C. (2019) *The combine will tell the truth: On precision agriculture and algorithmic rationality*. Big Data & Society, 6(1).

Mundler, P., Labarthe, P., Laurent, C. (2006) *Les disparités d'accès au conseil. Le cas de la région Rhône-Alpes*. Économie rurale. Agricultures, alimentations, territoires, (291), 26-41.

Pitron, G. (2018) *La guerre des métaux rares. La face cachée de la transition énergétique et numérique*. Les Liens qui Libèrent, 296 p.

Rotz, S., Gravely, E., Mosby, I., Duncan, E., Finnis, E., Horgan, M., Fraser, E. (2019) *Automated pastures and the digital divide: How agricultural technologies are shaping labour and rural communities*. Journal of Rural Studies, 68, 112-122.

Schneider, I. (2020) *Democratic Governance of Digital Platforms and Artificial Intelligence? Exploring Governance Models of China, the US, the EU and Mexico*. JeDEM 12(1), 1-24.

Servigne, P. (2014) *Nourrir l'Europe en temps de crise: Vers des systèmes alimentaires résilients*. Nature et progrès.

Stiegler, B. (2015) *La Société automatique : 1. L'avenir du travail*, Fayard, 300 p.

Taintier, J. A. (1990) *The Collapse of Complex Societies*, Cambridge University Press.

Taintier, J. A. (2009) *Complexity, collapse, and sustainable problem-solving*. In K. W. Hippel (Ed.), *Conflict Resolution* Vol. 2, pp. 349-390. Eolss Publishers.

Taintier, J. A., Patzek, T. W. (2012) *Drilling down: The Gulfoil debacle and our energy dilemma*. Copernicus Books and Springer Science+Business Media.

Taintier, J. A. (2016) *Agriculture and the energy-complexity spiral*. *Behavioral and Brain Sciences*, 39, 37-38.

Wolf, S. A., Buttel, F. H. (1996) *The political economy of precision farming*. American Journal of Agricultural Economics, 78(5), 1269-1274.

## CHAPITRE 6

Académie des technologies (2021) *Innovation dans les industries alimentaires : impacts de la révolution numérique*. Rapport de l'académie des technologies, Paris, 110p.
Ahumada, O., Villalobos, J.R. (2009) *Application of planning models in the agri-food supply chain: a review*. *European Journal of Operational Research*, 196(1), 1–20.

Ahumada, O., Villalobos, J.R., Nicholas Mason, A. (2012) *Tactical planning of the production and distribution of fresh agricultural products under uncertainty*. *Agricultural Systems*, 112, 17-26.

Anderies, J.M., Mathias, J.D., Janssen M.A. (2019) *Knowledge infrastructure and safe operating spaces in social-ecological systems*. *Proceedings of the National Academy of Sciences*, 116 (12), 5277-5284.

ANRT (2018) *Pour une politique industrielle du numérique*, Livre blanc. 56 p. disponible sur [politique-industrielle-numerique_futuris-anrt-web.pdf](https://anrtweb.org/en/2018/07/30/1160-the-numerical-futurism-anrt).

Arora, A., Athreye, S., Huang, C. (2016) *The paradox of openness revisited: collaborative innovation and patenting by UK innovators*. *Research Policy*, 45, 1352-1361.

Aubin, J.P. (1991) *Viability Theory*. Birhaüser, Boston.

Balaji Prabhu, B.V., Dakshayini, M. (2020) *An effective multiple linear regression-based forecasting model for demand-based constructive farming*. *International Journal of Web-Based Learning and Teaching Technologies*, 15 (2), 1-18.

Bergez, J.-E., Audouin, E., Therond, O., Eds. (2019) *Agroecological Transitions: From Theory to Practice in Local Participatory Design*, Springer, 335 pp. https://doi.org/10.1007/978-3-030-01953-2_1

Berti, G., Mulligan, C. (2016) *Competitiveness of Small Farms and Innovative Food Supply Chains: The Role of Food Hubs*. *Creating Sustainable Regional and Local Food Systems*. Sustainability, 8 (7), 616, https://doi.org/10.3390/su8070616.

Besnard, P., Hunter, A. (2008) *Elements of argumentation*. Cambridge: MIT press, 47.

Biggs, R., Schlüter, M., Schoon, M.L. (2015) *Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems*. Cambridge University Press, 390.

Boukhelifa, N., Duke, D.J. (2009) *Uncertainty visualization: why might it fail?* CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems April 2009 pp. 4051–4056.
Brandt, F., Conitzer, V., Endriss, U., Lang, J., Procaccia, A.D. (Eds.) (2016) *Handbook of computational social choice*. Cambridge University Press.

Brias, A. (2016) *Conjurer la malédiction de la dimension dans le calcul du noyau de viabilité à l'aide de parallélisation sur carte graphique et de la théorie de la fiabilité : application à des dynamiques environnementales*. Thèse Irstea-LISC, soutenue en décembre 2016 à l'Université Clermont Auvergne.

Bronson, K. (2019). *Looking through a responsible innovation lens at uneven engagements with digital farming*. NJAS – Wageningen Journal of Life Science, 90–91, 100294.

Bronson, K., Knezevic, I. (2016) *Big Data in food and agriculture*. Big Data & Society, 3 (1), 1–5.

Caquet, T., Gascuel, C., Tixier-Boichard, M. (2020) *Agroécologie : des recherches pour la transition des filières et des territoires*. Éd Quae, Collection : Matière à débattre et décider, 104 p.

Carolan, M. (2017). *Publicising food: big data, precision agriculture, and coexperimental techniques of addition*. Sociologia Ruralis, 57(2), 135-154.

Carolan, M. (2018) ‘Smart’ farming techniques as political ontology: Access, sovereignty and the performance of neoliberal and not so neoliberal worlds. *Sociologia ruralis*, 58(4), 745-764.

Charvat, K., Charvat Junior, K., Řezník, T., Lukas, V., Jedlička, K., Palma, R., Berzins, R. (2018) *Advanced Visualisation of Big Data for Agriculture as Part of Databio Development*, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp. 415-418. doi: 10.1109/IGARSS.2018.8517556.

Courtonne, J.Y., Alapetite, J., Longaretti, P.Y., Dupré, D., Prados, E. (2015) *Downscaling material flow analysis: The case of the cereal supply chain in France*. *Ecological Economics*, 118, 67-80.

Crespo, O., Bergez, J., Garcia, F. (2010) *Multiobjective optimization subject to uncertainty: application to irrigation strategy management*. *Computers and Electronics in Agriculture*, 74, 145–154.
De Leeuw, J., Vrieling, A., Shee, A., Atzberger, C., Hadgu, M.K., Biradar, M.C., Keah, H., Turvey, C. (2014) *The potential and uptake of remote sensing in insurance: a review*. *Remote Sensors*, **6**, 10888-10912.

Dominiak, K.N., Kristensen, A.R. (2017) *Prioritizing alarms from sensor-based detection models in livestock production - A review on model performance and alarm reducing methods*. *Computers and Electronics in Agriculture*, **133**, 46-67.

Dumont, B., Groot, J.C.J., Tichit, M. (2018) *Review: Make ruminants green again – how can sustainable intensification and agroecology converge for a better future?* *Animal*, **12(s2)**, S210-S219.

Eastwood, C., Klerkx, L., Ayre, M., Dela Rue, B. (2019) *Managing socioethical challenges in the development of smart farming: from a fragmented to a comprehensive approach for responsible research and innovation*. *Journal of Agricultural and Environmental Ethics*, **32 (5-6)**, 741-768.

Ellis, J.L., Jacobs, M., Dijkstra, J., van Laar, H., Cant, J.P., Tulpan, D., Ferguson, N. (2020) *Review: Synergy between mechanistic modelling and data-driven models for modern animal production systems in the era of big data*. *Animal*, **14 (S2)**, s223-s237.

Enkel, E., Bogers, M., Chesbrough, H. (2020) *Exploring open innovation in the digital age: A maturity model and future research directions*. *R and D Management*, **50 (1)**, 161-168.

Fekete, J.D., Fisher, D., Nandi, A., Sedlmair, M. (2019) *Progressive Data Analysis and Visualization (Dagstuhl Seminar 18411)*. *Dagstuhl Reports*. https://drops.dagstuhl.de/opus/volltexte/2019/10346/

Fielke, S.J., Garrard, R., Jakku, E., Fleming, A., Wiseman, L., Taylor, B.M. (2019). *Conceptualising the DAIS: Implications of the ‘Digitalisation of Agricultural Innovation Systems’ on technology and policy at multiple levels*. *NJAS-Wageningen Journal of Life Sciences*, **90**, 100296.

Gardner, T.A., Benzi, M., Börner, J., Dawkins, E., Fick, S., Garrett, R., Godar, J., Grimard, A., Lake, S., Larsen, R.K., Mardas, N., Dermott, C.L.M., Meyfroidt, P., Osbeck, M., Persson, M., Sembres, T., Suavet, C., Strassburg, B., Wolvekamp, P. (2019) *Transparency and sustainability in global commodity supply chains*. *World Development*, **121**, 163-177.
Ghahari, A., Newlands, N.K., Lyubchich, V., Gel, Y.R. (2019) *Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes*. North American Actuarial Journal, 23 (4), 535-550.

Groot, J.C.J., Oomen, G.J.M., Rossing, W.A.H. (2012) *Multi-objective optimization and design of farming systems*. Agricultural Systems, 110, 63-77.

Hansen, B. G., Stræte, E. P. (2020) *Dairy farmers’ job satisfaction and the influence of automatic milking systems*. NJAS-Wageningen Journal of Life Sciences, 92, 100328.

Hill, A., Lucet, E., Lenain, R., Laneurit, J. (2019) *Neuroevolution with CMA-ES for real-time gain tuning of a car-like robot controller*. Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019), pp. 311-319.

Husnjak, S., Perakovića, D., van Forenbacher, I., Mumdziev M. (2015) *Telematics System in Usage Based Motor Insurance*, Procedia Engineering, 100, 816-825.

Ingrand, S. (2018) *Opinion paper: ‘monitoring te salutant:’ combining digital sciences and agro-ecology to design multi-performant livestock farming systems*. Animal, 12, 2-3.

Inria (2019) *Cybersecurity: Current challenges and Inria's research directions*, 168 p, Inria, Le Chesnay, France.

Jakku, E., Taylor, B., Fleming, A., Mason, C., Fielke, S., Sounness, C., Thorburn, P. (2019) “If they don’t tell us what they do with it, why would we trust them?” *Trust, transparency and benefit-sharing in Smart Farming*. NJAS-Wageningen Journal of Life Sciences, 90, 100285.

Klerkx L., Rose D. (2020) *Dealing with the game-changing technologies of Agriculture 4.0: How do we manage diversity and responsibility in food system transition pathways?* Global Food Security, 24, 100347.

Klerkx, L., Jakku, E., Labarthe, P. (2019) *A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda*, NJAS - Wageningen Journal of Life Sciences, 90-91, 100315.

Kilgour, D. M., Eden, C. (Eds.) (2010) *Handbook of group decision and negotiation*. Springer Science & Business Media, 4.
Laneurit, J., Chapuis, R., Debain, C. (2016) *TRACKBOD, an accurate, robust and low cost system for mobile robot person following*. MCG 2016 – 5<sup>th</sup> International Conference on Machine Control & Guidance "Facing complex outdoor challenges by inter-disciplinary research" Vichy, France, October 5-6<sup>th</sup>, 2016, 6 p. Accessible sur https://mcg2016.irstea.fr/wp-content/uploads/2017/05/MCG2016_paper_31.pdf.

Lepenioti, K., Bousdekis, A., Apostolou, D., Mentzas, G. (2020) *Prescriptive analytics: Literature review and research challenges*. International Journal of Information Management, 50, 57-70.

Li, J., Rodriguez, D., Zhang, D., Ma, K. (2015) *Crop rotation model for contract farming with constraints on similar profits*. Computers and Electronics in Agriculture, 119, 12-18.

Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., Spinler, S. (2020) *Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks*. International Journal of Production Economics, 228, 107746.

Morin, E. (2014) *Introduction à la pensée complexe*, Éditions du Seuil, « Points essais » n°534.

Owen, R., Macnaghten, P., Stilgoe, J. (2012) *Responsible research and innovation: from science in society to science for society, with society*. Science and Public Policy, 39(6), 751-760.

Pellé, S., Reber, B. (2015) *Responsible innovation in the light of moral responsibility*. Journal on Chain and Network Science, 15(2), 107-117.

Potter K., Rosen P., Johnson C.R. (2012) *From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches*. In: Dienstfrey A.M., Boisvert R.F. (eds) Uncertainty Quantification in Scientific Computing. WoCoUQ 2011. IFIP Advances in Information and Communication Technology, vol 377. Springer, Berlin, Heidelberg, pp. 226-249.

Rey-Valette, H., Pinto, M., Maurel, P., Chia, E., Guiheneuf, P.Y., Michel, L., Nougaredes, B., Soulard, C., Jarrige, F., Guillemot, S.C., Mate, M.S., Ollagnon, H., Delorme, G., Prouheze, N., Laurent, A., Suita, L.A., Bertrand, J., Dieudonné, C., Champorigaud, A., Barbe, E. (2011) *Guide pour la mise en œuvre de la gouvernance en appui au développement durable des territoires*. Montpellier, INRA Editions. 155 p.

Rose, D.C., Chilvers, J. (2018) *Agriculture 4.0: broadening responsible innovation in an Era of smart farming*. Frontiers in Sustainable Food Systems, 2, 87.
Ryschawy, J., Moraine, M., Péquignot, M., Martin, G. (2019) *Trade-offs among individual and collective performances related to crop-livestock integration among farms: a case study in southwestern France*. *Organic Agriculture*, 9(4), 399-416.

Stilgoe, J., Owen, R., Macnaghten, P. (2013) *Developing a framework for responsible innovation*. *Research Policy*, 42, 1568-1580.

Sutherland, L. A., Mills, J., Ingram, J., Burton, R. J., Dwyer, J., Blackstock, K. (2013) *Considering the source: Commercialisation and trust in agri-environmental information and advisory services in England*. *Journal of environmental management*, 118, 96-105.

Svetlin, I., Makatsoris, H., Jreissat, M., Wagner, C. (2016) *Linking human and machine - towards consumer-driven automated manufacturing*. *Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)*, Vancouver, CN, pp 1789-1796.

Tesfaye, A., Hansen, J., Kassie, G.T., Radeny, M., Solomon, D. (2019) *Estimating the economic value of climate services for strengthening resilience of smallholder farmers to climate risks in Ethiopia: A choice experiment approach*. *Ecological Economics*, 162, 157-168.

Tisseyre, B., McBratney, A.B. (2008) *A technical opportunity index based on mathematical morphology for site-specific management: An application to viticulture*. *Precision Agriculture*, 9 (1-2), 101-113.

Trnka, M., Eitzinger, J., Kapler, P., Dubrovský, M., Semerádová, D., Žalud, Z., Formayer, H. (2007) *Effect of estimated daily global solar radiation data on the results of crop growth models*. *Sensors*, 7 (10), 2330-2362.

Trompette, P., Vinck, D. (2009) *Retour sur la notion d'objet-frontière*. *Revue d'anthropologie des connaissances*, 3(1), 5-27.

Vik, J., Stræte, E. P., Hansen, B. G., Nærland, T. (2019) *The political robot-The structural consequences of automated milking systems (AMS) in Norway*. *NJAS-Wageningen Journal of Life Sciences*, 90, 100305.

Vinck, D. (1999) *Les objets intermédiaires dans les réseaux de coopération scientifique. Contribution à la prise en compte des objets dans les dynamiques sociales*. *Revue Française de Sociologie*, XI, 385-414.
Wiseman, L., Sanderson, J., Zhang, A., Jakku, E. (2019) *Farmers and their data: An examination of farmers' reluctance to share their data through the lens of the laws impacting smart farming*. NJAS-Wageningen Journal of Life Sciences, 90, 100301.

Wolf, S.A., Buttel, F.H. (1996) *The political economy of precision farming*. American Journal of Agricultural Economics, 78(5), 1269-1274.

Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.J. (2017) Big Data in *Smart Farming* – *A review*. Agricultural Systems, 153, 69-80.

Wu, X., Aravecchia, S., Pradalier, C. (2019) *Design and implementation of computer vision based in-row weeding system*. 2019 International Conference on Robotics and Automation (ICRA), 2019, p. 4218–4224.
## Liste des acronymes

* **ANRT:** Association nationale de la recherche et de la technologie

* **AOC:** Appellation d'origine contrôlée

* **AOP:** Appellation d'origine protégée

* **CATI:** Centre automatisé de traitement de l'information

* **CITEPA:** Centre technique de référence en matière de pollution atmosphérique et de changement climatique

* **DEEE:** Déchet d'équipement électrique et électronique

* **DGE:** Direction générale des entreprises

* **DSS:** Decision Aid System (traduction anglaise de « outil d'aide à la décision »)

* **ERP:** Enterprise Resource Planning, parfois appelé PGI (Prodiciel de gestion intégré)

* **ETSI:** European Telecommunications Standards Institute

* **FAO:** Food and Agriculture Organization – Organisation des Nations unies pour l'alimentation et l'agriculture

* **FNSEA:** Fédération nationale des syndicats d'exploitants agricoles

* **GES:** Gaz à effet de serre

* **GIEC:** Groupe d'experts intergouvernemental sur l'évolution du climat

* **GIS:** Geographical Information Systems

* **GPS:** Global Positioning System

* **HLPE:** High Level Panel of Experts de l'ONU

* **IHM:** Interaction homme-machine

* **INRAE:** Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

* **Inria:** Institut national de recherche en sciences et technologies du numérique.

* **IoT:** Internet of Things – Internet des objets

* **ITU:** IT University of Copenhagen

* **JA:** Jeunes agriculteurs

* **MIT:** Massachusetts Institute of Technology

* **OAD:** Outil d'aide à la décision (en anglais Decision Support System)

* **OCDE:** Organisation de coopération et de développement économiques

* **OIE:** Organisation mondiale de la santé animale (préalablement Office international des épizooties)

* **OLAP:** On Line Analytical Processing

* **ONF:** Office national des forêts

* **ONG:** Organisation non gouvernementale

* **ONU:** Organisation des Nations Unies

* **OWL:** Web ontology language

* **PAC:** Politique agricole commune

* **PEPR:** Programmes et équipements prioritaires de recherche

* **PSE:** Paiement des services écosystémiques

* **RDA:** Research Data Alliance

* **RFID:** Radio frequency identification

* **RGPD:** Règlement général sur la protection des données

* **RRI:** Responsible research and innovation (recherche innovation responsable)

* **SADEA:** Systèmes agricoles durables et équipements agricoles contribuant à la transition écologique

* **SAREF:** Ontologie Smart Applications Reference

* **SGBD:** Système de gestion de base de données

* **SHS:** Sciences humaines et sociales

* **SPG:** Systèmes participatifs de garantie

* **TAE:** Transition agroécologique

* **TIC:** Technologies de l'information et de la communication

* **UE:** Unité expérimentale

* **UMR:** Unité mixte de recherche

* **UMT:** Unité mixte technologique

* **UNESCO:** Organisation des Nations unies pour l'éducation, la science et la culture (United Nations Educational, Scientific and Cultural Organization)

* **W3C:** World Wide Web Consortium
## Équipes-projets Inria

https://www.inria.fr/fr/liste-des-equipes-projets

## Unités de recherche INRAE

http://annuaire.inrae.fr/accueil.action#ongletStructure

* UMR AGROECOLOGIE: https://www6.dijon.inrae.fr/umragroecologie

* UMR BAGAP: https://www6.rennes.inrae.fr/bagap

* UMR BIOEPAR: https://www6.angers-nantes.inrae.fr/bioepar/

* UMR BOA: https://web.univ-tours.fr/umr-0083-biologie-des-oiseaux-et-aviculture-boa

* UMR CBGP: https://www6.montpellier.inrae.fr/cbgp/

* UMR GENPHYSE: https://genphyse.toulouse.inra.fr

* UMR MISTEA: https://www6.montpellier.inrae.fr/mistea

* UMR MOSAR: https://www6.jouy.inrae.fr/mosar

* UMR PEGASE: https://www6.rennes.inrae.fr/pegase/

* UMR SAS: https://www6.rennes.inrae.fr/umrsas/

* UMR SELMET: https://umr-selmet.cirad.fr

* UMR SMART LERECO: https://www6.inrae.fr/umt-stratege/Partenaires/INRAE/UMR-1302-SMART-LERECO

* UMR Tetis: https://umr-tetis.fr/index.php/fr/

* UMR TOXALIM: https://www6.toulouse.inrae.fr/toxalim

* UMR UMRH: https://umrh-bioinfo.clermont.inrae.fr/Intranet/web/UMRH
<figure><img src="image_59.png" /></figure>