São Paulo State University

Curriculum Vitae – Rouverson Pereira da Silva
Short biography
Rouverson Pereira da Silva is an Agricultural Engineer from the Federal University of Lavras (1990), with a Master's
degree in Mechanical Engineering from the Federal University of Uberlândia (1995), a Ph.D. in Agronomy (Plant
Production) from the São Paulo State University (2002), and a postdoctoral degree from the University of Georgia (2017).
He currently serves as an Adjunct Professor III at São Paulo State University, Jaboticabal Campus, and holds the positionof Executive Director of the Latin American and Caribbean Association of Agricultural Engineering, as well as the Directorof International Relations at the Brazilian Association of Agricultural Engineers, and is a Board Member of the Brazilian
Association of Agricultural Engineering. Throughout his career, he has authored 206 papers in scientific journals, 10
books, and 38 book chapters. He has also presented more than 600 communications in conference proceedings andtechnical journals and has actively participated in numerous scientific events both in Brazil and abroad. His supervision
includes 6 post-doctorate supervisions, 27 doctoral theses, 34 master's dissertations, and over 160 scientific initiationand course completion works in the fields of Agricultural Engineering and Agronomy. Rouverson Pereira da Silva is an
ad hoc consultant for several scientific journals and specializes in Agricultural Engineering, particularly in Agricultural
Machinery and Mechanization, as well as Digital and Precision Agriculture. His research focuses on various topics,
including Mechanized Harvest Systems (coffee, sugarcane, peanuts, and cereals), Digital Agriculture, Precision
Agriculture, and Quality Control in Mechanized Agricultural Operations. He is recognized as one of the pioneers in peanut
harvesting research in Brazil. Furthermore, he is a member of the Brazilian Committees for Precision and Digital
Agriculture, Evaluation of the Award Tractor of the Year, and Evaluation of the Award Machine of the Year. Overall,Rouverson Pereira da Silva has made significant contributions to the field of Agricultural Engineering, with a wealth of
publications, supervisory roles, and active participation in scientific communities both nationally and internationally.
Personal Information
Name:

Rouverson Pereira da Silva

Bibliographic Citation:

SILVA, R. P.; SILVA, Rouverson Pereira da; Silva, Rouverson P. da; Pereira Da Silva,
Rouverson.

Professional Address:

São Paulo State University, Faculty of Agrarian and Veterinary Sciences of Jaboticabal,
Department of Engineering.
Via de Acesso Prof. Paulo Donato Castellane, km 5
14.884-900 - Jaboticabal, SP – Brazil.

Phone:+55 16 3209 7283

Website URL:

http://www.rsrg.net.br

Formal Education/Degree2001 – 2002

Ph.D. in Agronomy (Plant Production)
São Paulo State University, UNESP, Brazil.

Advisor:José Eduardo Corá

Major Area / Area:

Agrarian Sciences / Agricultural EngineeringSão Paulo State University

1991 - 1995

Master´s in Engenharia Mecânica
Federal University of Uberlândia, UFU, Brazil.

Advisor:Henner Alberto Gomide

Major Area / Área / Subarea / Specialty: Engineering / Mechanical Engineering / Solid Mechanics / Stress
Analysis
1985 – 1990

Graduation in Agricultural Engineering
Federal University of Lavras, UFLA, Brazil.

Postdoctorate and Habilitation
2010

Habilitation in Agricultural Mechanization
São Paulo State University, UNESP, Brazil.

2017

Postdoctorate
University of Georgia, UGA, United States.

Major Area:

Agrarian Sciences

Professional history
Beginning
June/2013

EndingMay/2021

Position
Coordinator of the Graduate Program in Agronomy (Plant

Institution
UNESP

Production)
August/2012

Current

Member of the Brazilian Commission on Precision and

CBPAD

Digital Agriculture – CBPAD
August /2011 May/2013

Head of the Department of Rural Engineering

June/2010

Deputy Coordinator of the Graduate Program in Agronomy UNESP

May/2013

UNESP(Plant Production)
August /2009 July/2011

Deputy Head of the Department of Rural Engineering

UNESP

May/2000

Director of the Agricultural Engineering Course

University of Uberaba

January/2002

February/2002 December/2003 Coordinator of the Agronomy Course

Associated Colleges of
UberabaMore relevant search results in the last 8 years
1. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; MARRA, TULIO MAZETTI ; SILVA, EDUARDO AROUCHE DA ; BRITOFILHO, ARMANDO LOPES DE ; BARBOSA JÚNIOR, MARCELO RODRIGUES ; SANTOS, ADÃO FELIPE DOS ;SILVA, ROUVERSON PEREIRA DA ; VELLIDIS, GEORGE . Advancements in peanut mechanization: Implications
for sustainable agriculture. AGRICULTURAL SYSTEMS, v. 215, p. 103868, 2024.

São Paulo State University

2. CANATA, T. F. ; BARBOSA JÚNIOR, M. R. ; OLIVEIRA, R. P. ; FURLANI, C. E. A. ; SILVA, R. P. . AI-Driven
Prediction of Sugarcane Quality Attributes Using Satellite Imagery. Sugar Tech, p. 1, 2024.
3. CARREIRA, VINICIUS DOS S. ; ALEIXO, EDWARD V. ; RIBEIRO, NÁGILLA M. ; SANTOS, JAMILE DO N. ; Silva,
Rouverson P. da . A systematic and meta-analytical review of soybean mechanized harvesting in South America.
Revista Brasileira de Engenharia Agricola e Ambiental, v. 28, p. e265804, 2024.
4. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; CRUZ, VICTOR HUGO ; BARBOSA JUNIOR, MARCELO RODRIGUES ;LOPES, PAULO RENATO MATOS ; SILVA, Rouverson Pereira da . Fuel-flexible biomass off-gassing: The impact ofantioxidant spent coffee grains on emissions of CO2, CO, CH4, and VOCs, physical deposits, and combustion inwood pellets. INDUSTRIAL CROPS AND PRODUCTS, v. 208, p. 117748, 2024.
5. KAZAMA, ELIZABETH HARUNA ; TEDESCO, DANILO ; CARREIRA, VINICIUS DOS SANTOS ; BARBOSA JÚNIOR,MARCELO RODRIGUES ; DE OLIVEIRA, MAILSON FREIRE ; FERREIRA, FRANCIELLE MORELLI ; JUNIOR,WALTER MALDONADO ; DA SILVA, ROUVERSON PEREIRA . Monitoring coffee fruit maturity using an enhanced
convolutional neural network under different image acquisition settings. SCIENTIA HORTICULTURAE, v. 328, p.
112957, 2024.
6. CARREIRA, VINICIUS DOS SANTOS ; NUYTTENS, DAVID ; LANGENAKENS, JAN ; PEREIRA, JOÃO VICTOR ; DA
SILVA, ROUVERSON PEREIRA . Smartphone image-based framework for quick, non-invasive measurement ofspray characteristics. Smart Agricultural Technology, v. 3, p. 100120, 2023.
7. WATSON-HERNÁNDEZ, FERNANDO ; SERRANO-NÚÑEZ, VALERIA ; GÓMEZ-CALDERÓN, NATALIA ; Pereira Da
Silva, Rouverson . Quantification and Evaluation of Water Requirements of Oil Palm Cultivation for Different
Climate Change Scenarios in the Central Pacific of Costa Rica Using APSIM. Agronomy-Basel, v. 13, p. 19,
2023.
8. TEDESCO, DANILO ; MOREIRA, BRUNO RAFAEL DE ALMEIDA ; BARBOSA JÚNIOR, MARCELO RODRIGUES ;MAEDA, MURILO ; SILVA, Rouverson Pereira da . Sustainable management of sweet potatoes: A review onpractices, strategies, and opportunities in nutrition-sensitive agriculture, energy security, and quality of life.
AGRICULTURAL SYSTEMS, v. 210, p. 103693, 2023.
9. DE OLIVEIRA, MATHEUS PEREIRA DE ; CARDOSO, PAULO HENRIQUE ; OLIVEIRA, ROMÁRIO PORTO DE ;BARBOSA JÚNIOR, MARCELO RODRIGUES ; DA SILVA, ROUVERSON PEREIRA . Mapping Gaps in Sugarcane
Fields Using UAV-RTK Platform. AGRICULTURE, v. 13, p. 1241, 2023.
10. LOPES DE BRITO FILHO, ARMANDO ; MORLIN CARNEIRO, FRANCIELE ; COSTA SOUZA, JARLYSON BRUNNO ;LUNS HATUN DE ALMEIDA, SAMIRA ; PATIAS LENA, BRUNO ; Pereira Da Silva, Rouverson . Does the Soil
Tillage Affect the Quality of the Peanut Picker?. Agronomy-Basel, v. 13, p. 1024, 2023.

São Paulo State University

11. BONACINI, LEONARDO ; TRONCO, MÁRIO LUIZ ; HIGUTI, VITOR AKIHIRO HISANO ; VELASQUEZ, ANDRESEDUARDO BAQUERO ; GASPARINO, MATEUS VALVERDE ; PERES, HANDEL EMANUEL NATIVIDADE ; OLIVEIRA,RODRIGO PRAXEDES DE ; MEDEIROS, VIVIAN SUZANO ; SILVA, Rouverson Pereira da ; BECKER, MARCELO .
Selection of a Navigation Strategy According to Agricultural Scenarios and Sensor Data Integrity. AgronomyBasel, v. 13, p. 925, 2023.
12. LUNS HATUM DE ALMEIDA, SAMIRA ; BRUNNO COSTA SOUZA, JARLYSON ; FURLAN NOGUEIRA, SANDRA ;RICARDO MACEDO PEZZOPANE, JOSÉ ; HERIBERTO DE CASTRO TEIXEIRA, ANTÔNIO ; BOSI, CRISTIAM ;ADAMI, MARCOS ; ZERBATO, CRISTIANO ; CARLOS DE CAMPOS BERNARDI, ALBERTO ; BAYMA, GUSTAVO ;Pereira Da Silva, Rouverson . Forage Mass Estimation in Silvopastoral and Full Sun Systems: Evaluation throughProximal Remote Sensing Applied to the SAFER Model. Remote Sensing, v. 15, p. 815, 2023.
13. DE ALMEIDA, SAMIRA LUNS HATUM ; SOUZA, JARLYSON BRUNNO COSTA ; PILON, CRISTIANE ; TEIXEIRA,ANTÔNIO HERIBERTO DE CASTRO ; DOS SANTOS, ADÃO FELIPE ; SYSSKIND, MORGAN NICOLE ; VELLIDIS,GEORGE ; DA SILVA, ROUVERSON PEREIRA . Performance of the SAFER model in estimating peanut maturation.
EUROPEAN JOURNAL OF AGRONOMY, v. 147, p. 126844, 2023.
14. BARBOSA JÚNIOR, MARCELO RODRIGUES ; MOREIRA, BRUNO RAFAEL DE ALMEIDA ; DE OLIVEIRA,ROMÁRIO PORTO ; SHIRATSUCHI, LUCIANO SHOZO ; DA SILVA, ROUVERSON PEREIRA . UAV imagery data
and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane. Frontiers in Plant
Science, v. 14, p. 1114852, 2023.
15. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; CRUZ, VICTOR HUGO ; BARBOSA JÚNIOR, MARCELO RODRIGUES ;DE VASCONCELOS, LEONARDO GOMES ; DA SILVA, ROUVERSON PEREIRA ; LOPES, PAULO RENATO MATOS .
Adsorption of tebuthiuron on hydrochar: structural, kinetic, isothermal, and mechanistic modeling, andecotoxicological validation of remediative treatment of aqueous system. BIOMASS CONVERSION AND
BIOREFINERY, v. 1, p. 1, 2023.
16. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; CRUZ, VICTOR HUGO ; JUNIOR, MARCELO RODRIGUES BARBOSA ;LOPES, PAULO RENATO MATOS ; SILVA, Rouverson Pereira da . Biomass off-gassing: A mini-review and metaanalysis aspiring to inspire future research and innovation in solid biofuels for safety-sensitive andenvironmentally responsible residential and industrial applications. INDUSTRIAL CROPS AND PRODUCTS, v.
205, p. 117508, 2023.
17. CARNEIRO, FRANCIELE MORLIN ; FILHO, ARMANDO LOPES DE BRITO ; FERREIRA, FRANCIELLE MORELLI ;JUNIOR, GETULIO DE FREITAS SEBEN ; BRANDÃO, ZIANY NEIVA ; DA SILVA, ROUVERSON PEREIRA ;SHIRATSUCHI, LUCIANO SHOZO . Soil and satellite remote sensing variables importance using machinelearning to predict cotton yield. Smart Agricultural Technology, v. 5, p. 100292, 2023.

São Paulo State University

18. COSTA SOUZA, JARLYSON BRUNNO ; LUNS HATUM DE ALMEIDA, SAMIRA ; LOPES DE BRITO FILHO,ARMANDO ; MORLIN CARNEIRO, FRANCIELE ; SANTOS, ADÃO FELIPE DOS ; DA SILVA, ROUVERSON PEREIRA. Unmanned aerial system and satellite: Which one is a better platform for monitoring of the peanut crops?.
AGRONOMY JOURNAL, v. 115, p. 1146-1160, 2023.
19. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; CRUZ, VICTOR HUGO ; JUNIOR, MARCELO RODRIGUES BARBOSA ;LOPES, PAULO RENATO MATOS ; DA SILVA, ROUVERSON PEREIRA . Fuel-flexible biomass off-gassing:antioxidant potential of agricultural residues for biogenic additives to low-emission wood pellets. BIOMASSCONVERSION AND BIOREFINERY, v. 1, p. 1, 2023.
20. CARREIRA, VINICIUS DOS SANTOS ; Pereira Da Silva, Rouverson . Rate errors in sprayer turning and circular
movements: PWM valve as compensation system and why spray boom size matters. CROP PROTECTION, v. 151,
p. 105835, 2022.
21. SANTOS, ADÃO F. ; LACERDA, LORENA N. ; ROSSI, CHIARA ; MORENO, LETICIA DE A. ; OLIVEIRA, MAILSON F.
; PILON, CRISTIANE ; SILVA, ROUVERSON P. ; VELLIDIS, GEORGE . Using UAV and Multispectral Images to
Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural
Networks. Remote Sensing, v. 14, p. 93, 2022.
22. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; BRITO FILHO, ARMANDO LOPES DE ; BARBOSA JÚNIOR, MARCELORODRIGUES ; SILVA, Rouverson Pereira da . A High-Throughput Imagery Protocol to Predict Functionality upon
Fractality of Carbon-Capturing Biointerfaces. Agronomy-Basel, v. 12, p. 446, 2022.
23. BARBOSA JÚNIOR, MARCELO RODRIGUES ; MOREIRA, BRUNO RAFAEL DE ALMEIDA ; BRITO FILHO,ARMANDO LOPES DE ; TEDESCO, DANILO ; SHIRATSUCHI, LUCIANO SHOZO ; SILVA, Rouverson Pereira da .
UAVs to Monitor and Manage Sugarcane: Integrative Review. Agronomy-Basel, v. 12, p. 661, 2022.
24. DE ALMEIDA MOREIRA, BRUNO RAFAEL ; DE BRITO FILHO, ARMANDO LOPES ; BARBOSA JÚNIOR, MARCELORODRIGUES ; DA SILVA, ROUVERSON PEREIRA . High-Throughput Carbon-Capturing Frameworks by Pelleting
Hydrochar of Food Waste and its Residual Ash as a Dopant. BioEnergy Research, v. 15, p. 10420-6, 2022.
25. WATSON-HERNÁNDEZ, FERNANDO ; GÓMEZ-CALDERÓN, NATALIA ; DA SILVA, ROUVERSON PEREIRA . Oil
Palm Yield Estimation Based on Vegetation and Humidity Indices Generated from Satellite Images and Machine
Learning Techniques. AgriEngineering, v. 4, p. 279-291, 2022.
26. BARBOSA JÚNIOR, MARCELO RODRIGUES ; TEDESCO, DANILO ; CARREIRA, VINICIUS DOS SANTOS ; PINTO,
ANTONIO ALVES ; MOREIRA, BRUNO RAFAEL DE ALMEIDA ; SHIRATSUCHI, LUCIANO SHOZO ; ZERBATO,São Paulo State University

CRISTIANO ; SILVA, Rouverson Pereira da . The Time of Day Is Key to Discriminate Cultivars of Sugarcane upon
Imagery Data from Unmanned Aerial Vehicle. Drones, v. 6, p. 112, 2022.
27. SOUZA, JARLYSON BRUNNO COSTA ; DE ALMEIDA, SAMIRA LUNS HATUM ; FREIRE DE OLIVEIRA, MAILSON ;SANTOS, ADÃO FELIPE DOS ; FILHO, ARMANDO LOPES DE BRITO ; MENESES, MARIANA DIAS ; SILVA,
Rouverson Pereira da . Integrating Satellite and UAV Data to Predict Peanut Maturity upon Artificial Neural
Networks. Agronomy-Basel, v. 12, p. 1512, 2022.
28. OLIVEIRA, BRUNO ROCCA DE ; VALE, WELINGTON GONZAGA DO ; SILVA, Rouverson Pereira da ; MACHADO,THIAGO MARTINS ; VALE, PATRICIA DE AZEVEDO CASTELO BRANCO DO ; MENESES, MARIANA DIAS ;SHIRATSUCHI, LUCIANO SHOZO ; VALE, LUÍS FELIPE CASTELO BRANCO DO . Quality in the mechanized
harvesting corn sown at different speeds. Brazilian Journal of Development, v. 8, p. 46058-46066, 2022.
29. DE ALMEIDA MOREIRA, BRUNO RAFAEL ; BARBOSA JÚNIOR, MARCELO RODRIGUES ; DE BRITO FILHO,ARMANDO LOPES ; DA SILVA, ROUVERSON PEREIRA . Production of high-quality biogenic fuels by copelletization of sugarcane bagasse with pinewood sawdust and peanut shell. BIOMASS CONVERSION AND
BIOREFINERY, v. 1, p. 1, 2022.
30. CARNEIRO, F. M. ; OLIVEIRA, M. F. ; ALMEIDA, S. L. H. ; BRITO FILHO, A. L. ; FURLANI, Carlos Eduardo Angeli ;ROLIM, G. S. ; FERRAUDO, Antonio Sérgio ; SILVA, Rouverson Pereira da . Biophysical characteristics ofsoybean estimated by remote sensing associated with artificial intelligence. Bioscience Journal, v. 38, p. 1-12,
2022.
31. GODINHO, JOÃO DE DEUS ; COSTA SOUZA, JARLYSON BRUNNO ; SILVA, ROUVERSON PEREIRA ; TAVARES,TIAGO DE OLIVEIRA ; DA COSTA, WATUS CLEIGSON ALVES ; DE OLIVEIRA, BRUNO ROCCA ; LUNS HATUM DE
ALMEIDA, SAMIRA . The best moment to carry out the selective harvest of coffee fruits. AGRONOMY JOURNAL,v. 114, p. agj2.21175, 2022.
32. DOS REIS, MARIA A. M. ; CORRÊA, LÍGIA N. ; DOS SANTOS, ADÃO F. ; DA SILVA, ROUVERSON P. . Peanut
harvest quality: Relationship between soil tillage management and threshing systems. SPANISH JOURNAL OF
AGRICULTURAL RESEARCH, v. 20, p. e0206, 2022.
33. MOREIRA, BRUNO RAFAEL DE ALMEIDA ; CRUZ, VICTOR HUGO ; BARBOSA JÚNIOR, MARCELO RODRIGUES ;MENESES, MARIANA DIAS ; LOPES, PAULO RENATO MATOS ; DA SILVA, ROUVERSON PEREIRA . Agro-residual
biomass and disposable protective face mask: a merger for converting waste to plastic-fiber fuel via an
integrative carbonization-pelletization framework. BIOMASS CONVERSION AND BIOREFINERY, v. 12, p. 1, 2022.
34. DE SOUZA, ANTONIA ERICA SANTOS ; BARBOSA JÚNIOR, MARCELO RODRIGUES ; MOREIRA, BRUNORAFAEL DE ALMEIDA ; DA SILVA, ROUVERSON PEREIRA ; LEMOS, LEANDRO BORGES . UAV MultispectralSão Paulo State University

Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean. Agronomy-Basel, v.
12, p. 2284, 2022.
35. STRINI PAIXÃO, CARLA SEGATTO ; VOLTARELLI, MURILO APERECIDO ; COSTA SOUZA, JARLYSON BRUNNO ;DE BRITO FILHO, ARMANDO LOPES ; SILVA, Rouverson Pereira da . Loss sampling methods for soybean
mechanical harvest. Bioscience Journal, v. 38, p. e38050, 2022.
36. SANTOS, LETÍCIA BERNABÉ ; BASTOS, LEONARDO MENDES ; DE OLIVEIRA, MAILSON FREIRE ; SOARES,PEDRO LUIZ MARTINS ; CIAMPITTI, IGNACIO ANTONIO ; DA SILVA, ROUVERSON PEREIRA . Identifying
Nematode Damage on Soybean through Remote Sensing and Machine Learning Techniques. Agronomy-Basel, v.
12, p. 2404, 2022.
37. OLIVEIRA, MAILSON FREIRE DE ; ORTIZ, BRENDA VALESKA ; MORATA, GUILHERME TRIMER ; JIMÉNEZ,ANDRÉS-F ; ROLIM, GLAUCO DE SOUZA ; SILVA, Rouverson Pereira da . Training Machine Learning Algorithms
Using Remote Sensing and Topographic Indices for Corn Yield Prediction. Remote Sensing, v. 14, p. 6171,
2022.
38. CARREIRA, VINICIUS DOS SANTOS ; TEDESCO, DANILO ; CARREIRA, ALEXANDRE DOS SANTOS ; DA SILVA,ROUVERSON PEREIRA . Assessing Intra-Row Spacing Using Image Processing: A Promising Digital Tool for
Smallholder Farmers. Agronomy-Basel, v. 12, p. 301, 2022.
39. TEDESCO, DANILO ; DE OLIVEIRA, MAÍLSON FREIRE ; DOS SANTOS, ADÃO FELIPE ; COSTA SILVA, EDGARDHENRIQUE ; DE SOUZA ROLIM, GLAUCO ; DA SILVA, ROUVERSON PEREIRA . Use of remote sensing tocharacterize the phenological development and to predict sweet potato yield in two growing seasons. EUROPEAN
JOURNAL OF AGRONOMY, v. 129, p. 126337, 2021.
40. OLIVEIRA, MAILSON FREIRE DE ; SANTOS, ADÃO FELIPE DOS ; KAZAMA, ELIZABETH HARUNA ; ROLIM,
GLAUCO DE SOUZA ; SILVA, Rouverson Pereira da . Determination of application volume for coffee plantations
using artificial neural networks and remote sensing. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 184,
p. 106096, 2021.
41. DOS SANTOS, ADÃO FELIPE ; CORRÊA, LÍGIA NEGRI ; LACERDA, LORENA NUNES ; TEDESCO-OLIVEIRA,DANILO ; PILON, CRISTIANE ; VELLIDIS, GEORGE ; DA SILVA, ROUVERSON PEREIRA . High-resolution satellite
image to predict peanut maturity variability in commercial fields. PRECISION AGRICULTURE, v. 1, p. s11119021-0979, 2021.
42. SANTOS, ADÃO F. DOS ; ALCÂNTARA, ALINE S. ; CORRÊA, LÍGIA N. ; QUEIROZ, RENATA F. DE ; Silva,
Rouverson P. da . DOES MOISTURE IN PODS INTERFERE WITH MECHANIZED HARVESTING OF PEANUTS?.
ENG AGR-JABOTICABAL, v. 41, p. 98-106, 2021.

São Paulo State University

43. PAIXÃO, CARLA S. S. ; VOLTARELLI, MURILO A. ; SANTOS, ADÃO F. DOS ; Silva, Rouverson P. da . SUGARCANE
BASE CUTTING QUALITY USING RECTANGULAR AND CIRCULAR BLADES. ENG AGR-JABOTICABAL, v. 41, p.
56-61, 2021.
44. VOLTARELLI, MURILO A. ; PAIXÃO, CARLA S. S. ; OLIVEIRA, BRUNO R. DE ; ANGELO, EDUARDO P. ; Silva,
Rouverson P. da . MONITORING TRACTOR PERFORMANCE USING SHEWHART AND EXPONENTIALLYWEIGHTED MOVING AVERAGE CHARTS. ENG AGR-JABOTICABAL, v. 41, p. 62-69, 2021.
45. FERREIRA, F. M. ; LITTER, F. A. ; CARNEIRO, M. A. ; ALMEIDA, S. L. H. ; KAZAMA, E. H. ; DA SILVA,ROUVERSON PEREIRA ; SEBEN JUNIOR, G. F. . Times and movements for operational capacity and losses insoybean harvest. Revista Ibero-americana de Ciências Ambientais, v. 12, p. 1, 2021.
46. TEDESCO, DANILO ; ALMEIDA MOREIRA, BRUNO RAFAEL DE ; BARBOSA JÚNIOR, MARCELO RODRIGUES ;PAPA, JOÃO PAULO ; SILVA, Rouverson Pereira da . Predicting on multi-target regression for the yield of sweet
potato by the market class of its roots upon vegetation indices. COMPUTERS AND ELECTRONICS IN
AGRICULTURE, v. 191, p. 106544, 2021.
47. BARBOSA JÚNIOR, MARCELO RODRIGUES ; TEDESCO, DANILO ; CORRÊA, RAFAEL DE GRAAF ; MOREIRA,BRUNO RAFAEL DE ALMEIDA ; SILVA, Rouverson Pereira da ; ZERBATO, CRISTIANO . Mapping Gaps in
Sugarcane by UAV RGB Imagery: The Lower and Earlier the Flight, the More Accurate. Agronomy-Basel, v. 11, p.
2578, 2021.
48. Kazama, E. H., da Silva, R. P., de Oliveira Tavares, T., Correa, L. N., de Lima Estevam, F. N., de Araújo Nicolau, F.
E., & JÚNIOR, W. M. Methodology for selective coffee harvesting in management zones of yield and maturation.
PRECISION AGRICULTURE (2020). https://doi.org/10.1007/s11119-020-09751-1
49. Tedesco-Oliveira, Danilo; Pereira da Silva, Rouverson; Maldonado, Walter; Zerbato, Cristiano. Convolutional
neural networks in predicting cotton yield from images of commercial fields. COMPUTERS AND ELECTRONICS
IN AGRICULTURE, v. 171, p. 105307, 2020. https://doi.org/10.1016/j.compag.2020.105307
50. Kazama, E. H., Silva, R. P. D., Carneiro, F. M., Teixeira, D. D. B., Vale, W. G. D., & Pereira, G. T. (2020). Variabilityof harvest loss in relation to physiological characteristics of cotton. ACTA SCIENTIARUM AGRONOMY, 42.
https://doi.org/10.4025/actasciagron.v42i1.42587
51. da Silva Gírio, Lucas Augusto; da Silva, Rouverson Pereira; de Menezes, Patricia Candida; Carneiro, Fanciele
Morlin; Zerbato, Cristiano; Ormond, Antonio Tassio Santana. Quality of multi-row harvesting in sugarcane
plantations established from pre-sprouted seedlings and billets. INDUSTRIAL CROPS AND PRODUCTS, v. 142,
p. 111831, 2019. https://doi.org/10.1016/j.indcrop.2019.111831

São Paulo State University

52. Tavares, Tiago de Oliveira; de Oliveira, Bruno Rocca; Silva, Vantuir de Albuquerque; Pereira da Silva, Rouverson;
dos Santos, Adão Felipe; Okida, Estela Silva. The times, movements and operational efficiency of mechanizedcoffee harvesting in sloped areas. PLoS One, v. 14, p. e0217286, 2019.
https://doi.org/10.1371/journal.pone.0217286
53. dos Santos, Adão Felipe; da Silva, Rouverson Pereira; Zerbato, Cristiano; De Menezes, Patricia Candida; Kazama,
Elizabeth Haruna; Paixão, Carla Segato Strini; Voltarelli, Murilo Aparecido. Use of real-time extend GNSS for
planting and inverting peanuts. PRECISION AGRICULTURE (2018). https://doi.org/10.1007/s11119-018-9616-z
54. Ferezin, E.; Rouverson Pereira da Silva; Santos, A. F.; Zerbato, Cristiano. Development of an electrohydraulicdrive system for the vibrating conveyor belt of the peanut digger. PLoS One, v. 13, p. 1-8, 2018.
https://doi.org/10.1371/journal.pone.0203300
55. Zerbato, Cristiano; Furlani, Carlos Eduardo Angeli; Ormond, A. T. S.; Gírio, Lucas Augusto da Silva; Carneiro, F.
M.; Silva, R. P. Statistical process control applied to mechanized peanut sowing as a function of soil texture.
PLoS One, v. 12, p. e0180399, 2017. https://doi.org/10.1371/journal.pone.0180399
Patents
Ferezin, E.; Silva, R. P. Improvement in starter and inverter equipment for peanut cultivation. 2015, Brazil. Patent:
Privilege of Innovation. Registration number INPI: BR 10 2015 005370 3, Funding Institution: AUIN/UNESP.
Gírio, L. A. S.; Silva, R. P. Standard methodology for the evaluation of concussions to sugarcane ratoons. 2021,
Brazil. Patent: Privilege of Innovation. Registration number INPI: BR 10 2021 002016 4.
Funding Institution: AUIN/UNESP.
LectureDevelopment of a smartphone application for estimate peanuts harvesting losses. In: Precision Ag. Planter Clinic
Event, November 30th. E.V. Smith Research Center Conference Facility. Shorter, Alabama-EUA, 2017.
Academic Advisory - current

Master's Thesis
1. Breno dos Santos Silva. Selective and intelligent mechanized harvesting in coffee farming. Begin: 2023. Thesis(Master's in Agronomy (Plant Production)) - Faculdade de Ciências Agrárias e Veterinárias, Coordenação de
Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. (Advisor).
2. Thiago Caio Moura Oliveira. Estimation of peanut maturity using remote sensing and artificial neural networks.
Begin: 2023. Thesis (Master's in Agronomia (Ciência do Solo)) - Faculdade de Ciências Agrárias e Veterinárias,
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. (Advisor).

São Paulo State University

Ph.D. Dissertation
1. Igor Cristian de Oliveira Vieira. Multilevel remote sensing for intelligent mechanized harvesting in coffee cultivation.
Begin: 2023. Dissertation (Ph.D. in Agronomy (Plant Production)) - UNESP, Coordenação de Aperfeiçoamento dePessoal de Nível Superior – Brasil (CAPES) – Finance Code 001 – Brasil (CAPES) – Finance Code 001. (Advisor).
2. Rosemary Elizabeth Gay. Peanut powerhouses: The promises and pitfalls of inter-American scientific collaboration.
Begin: 2023. Dissertation (Ph.D. in Anthropology) – North Carolina University, Fulbright Brasil. (Co-Counsellor).
3. Marcelo Odorizzi de Campos. Modeling atmospheric CO2 under degraded and managed pastures in Brazilian
biomes. Begin: 2023. Dissertation (Ph.D. in Agronomy (Plant Production)) - UNESP. (Advisor).
4. Vinicius dos Santos Carreira. Framework for high-resolution remote sensing in tomato farming using minicomputerand cloud computing. Begin: 2023. Dissertation (Ph.D. in Agronomy (Plant Production)) – UNESP, The São Paulo
Research Foundation - FAPESP. (Advisor).
5. Armando Lopes de Brito Filho. Deep learning image processing for estimating peanut harvest losses. Begin: 2023.
Dissertation (Ph.D. in Agronomy (Plant Production)) - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível
Superior – Brasil (CAPES) – Finance Code 001. (Advisor).
6. Edward Victor Aleixo. Begin: 2022. Operational and energy performance of tractors in coffee operations as a functionof the construction types of agricultural tires. Begin: 2022. Dissertation (Ph.D. in Agronomia (Soil Science)) - UNESP.
(Advisor).
7. Jarlyson Brunno Costa Souza. Peanut productivity estimation using remote sensing and artificial intelligence
tools. Begin: 2021. Dissertation (Ph.D. in Agronomy (Plant Production)) - UNESP, Coordenação de Aperfeiçoamento
de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. (Advisor).
Scientific Initiation
1. Kristhian Bender Jaeguer. Losses in mechanized sorghum harvesting. Begin: 2023. Dissertation (Graduation in
Agronomy) - UNESP. (Advisor).
2. Caio Eduardo Lavanholli Ibanha. Low-cost method for radiometric calibration of multispectral aerial images. Begin:
2023. Scientific Initiation (Undergraduate Student in Agronomy) - UNESP, National Council for Scientific andTechnological Development (CNPq). (Advisor).
2. Gabriel Pereira Costa. Application of machine learning and remote sensing algorithms in predicting peanut harvest
losses. Begin: 2023. Scientific Initiation (Undergraduate Student in Agronomy) – UNESP, The São Paulo Research
Foundation - FAPESP. (Advisor).

São Paulo State University

3. Bruno Ripa Baptista. High-resolution remote sensing for potato crop monitoring. Begin: 2023. Scientific Initiation(Undergraduate Student in Agronomy) – UNESP, The São Paulo Research Foundation - FAPESP. (Advisor).
4. Rafael Cavichioli
The São Paulo Research Foundation - FAPESP
Academic Advisory - concluded
Master's Thesis
1. Paulo Henrique Cardoso. Machine Learning and Image Data: Qualitative Predictive Analytics for Sugarcane. Begin:
2023. Dissertation (Master's in Agronomy (Plant Production)) - UNESP. (Advisor).
2. Mariana Dias Meneses. Coffee classification according to its detachment force: a decision tree-based approach.
2023. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001. Advisor.
3. Vinicius dos Santos Carreira. Smartphone image-based methods for quick, non-invasive assessments in agriculture.
2022. Thesis - UNESP, National Council for Scientific and Technological Development (CNPq). Advisor.
4. Bruno Rocca de Oliveira. Do the sunlight and aggressiveness of coffee harvest can affect the quality operation?.
2021. Thesis - UNESP, National Council for Scientific and Technological Development (CNPq). Advisor.
5. Armando Lopes de Brito Filho. Operational quality of machanized peanut collection in three soil tillage systems.
2021. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001. Advisor.
6. Jarlyson Brunno Costa Souza. Digital agriculture techniques to predict peanut ripening. 2021. Thesis - UNESP,
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Advisor.
7. Antonio Maurício Loureiro Júnior. Is it possible to detect in the field fragments of invisible losses in mechanizedsugarcane harvesting?. 2021. Thesis - UNESP. Advisor.
8. Rafael Rodrigues Feih. Application of convolutional neural networks to measure slippage in agricultural tractors.
2021. Thesis - UNESP. Advisor.
9. Alex Rangel Gonzaga. Evaluation of agricultural tractors for spraying in citrus culture. 2020. Thesis - UNESP, National
Council for Scientific and Technological Development (CNPq). Advisor.
10. Caio Cesar Donadon. Methodology for identification and elimination of special causes in performance charts.
2020. Thesis - UNESP. Advisor.

São Paulo State University

11. Leticia Bernabé Santos. Is it possible to detect nematodes in soybean (glycine max l.) using remote sensing?.
2020. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001. Advisor.
12. Danilo Tedesco de Oliveira. An intelligent system that forecasting the cotton yield in commercial fields images.
2019. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001. Advisor.
13. Leonardo Bernache. Wear of the basal cutting blades: effect on the harvesting and regrowth of the sugarcane.
2018. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001. Advisor.
14. Luan Pereira de Oliveira. Mechanical harvesting of sugarcane: the wear of the knives as a reducing agent of thequality of the basal cut. 2018. Thesis - UNESP, National Council for Scientific and Technological Development (CNPq).
Advisor.
15. Matheus Anaan de Paula Borba. Time and movements in mechanized peanut harvesting according to the shapeof the plots. 2018. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES)– Finance Code 001. Advisor.
16. Maiara Pusch. Soil compaction and soybean yield in tillage systems. 2018. Thesis - Universidade Federal daGrande Dourados, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code001. Co-Advisor.
17. Elizabeth Haruna Kazama. Losses in the mechanized cotton harvesting in spatial variability and harvesting speeds
function. 2016. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) –Finance Code 001. Advisor.
18. Tiago de Oliviera Tavares. Mechanized ghatering of coffee in function of the soil management function and thedeclivity. 2016. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) –Finance Code 001. Advisor.
19. Adão Felipe dos Santos. Quality of mechanized farming operations in the peanut crop with the use of automatic
guidance. 2016. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) –Finance Code 001. Advisor.
20. Lucas Villela Rosa. Sugarcane harvester performance as a function of engine load profile. 2015. Thesis - UNESP,.
Advisor.

São Paulo State University

21. Luiz Augusto de Souza Nardo. Scenario analysis to aid decision-making in the mechanized planting of sugarcane.
2015. Thesis - UNESP. Advisor.
22. Carla Segatto Strini Paixão. Times, movements and quality of soybean mechanical harvesting operation dependingon the format of the plots. 2015. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior –Brasil (CAPES) – Finance Code 001. Advisor.
23. Franciele Morlin Carneiro. Mechanical application of n-p-k individualized in the culture of sugarcane. 2015. Thesis- UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. CoAdvisor.
24. Urbano Teixeira Guimarães e Silva. Effect of the tillage system on some soil physical properties and soybean crop.
2015. Thesis - Universidade Federal de Viçosa, Campus de Rio Paranaíba. Co-Advisor.
25. Luma Stefania Torres. Statistical process control applied to the monitoring of losses in mechanized harvesting ofsugarcane. 2014. Thesis - UNESP. Advisor.
26. Murilo Aparecido Voltarelli. Quality of the operation of sugarcane mechanized planting in the day and night shifts.
2013. Thesis - UNESP, National Council for Scientific and Technological Development (CNPq). Advisor.
27. Diego Onofre Vidal. Operating performance of soil tillage systems for transplanting citrus. 2013. Thesis - UNESP,.
Advisor.
28. Rafael Henrique de Freitas Noronha. Quality of operation of mechanized planting of sugarcane in the meiosi system.
2012. Thesis - UNESP, National Council for Scientific and Technological Development (CNPq). Advisor.
29. Marcelo Tufaile Cassia. Quality of mechanized harvest of coffee in circularplanting under center pivot. 2012. Thesis- UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
Advisor.
30. Rafael Scabello Bertonha. Variability of losses in the peanut mechanized digging: case study. 2011. Thesis UNESP (Unesp), National Council for Scientific and Technological Development (CNPq). Advisor.
31. Edvaldo Pereira dos Santos. Use of statistical analysis in evaluating of mechanical digging of peanuts. 2011. Thesis- UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
Advisor.

São Paulo State University

32. Ronaldo Rosa Simões. Statistical control applied to the peanuts harvesting process. 2009. 0 f. Thesis (Master's inAgronomy) - Universidade Estadual Paulista Júlio de Mesquita Filho, National Council for Scientific and Technological
Development (CNPq). Advisor.
33. Ivan Cardoso Ferreira. Diagnosis of harvesting and processing of seed cotton in the southern region of Goias,
Brazil. 2009. 0 f. Thesis (Master's in Agronomy) - Universidade Estadual Paulista Júlio de Mesquita Filho, National
Council for Scientific and Technological Development (CNPq). Advisor.
34. Leandra Matos Barroso. Mechanized harvesting and quality seed losses of peanuts (Arachis hypogeaea L.). 2009.
Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code001. Co-Advisor.
Ph.D. thesis
1. Marcelo Rodrigues Barbosa Júnior. UAV imaging and machine learning: a fusion that drives biophysical modelingof saccharine and bioenergy feedstocks in sugarcane. Begin: 2023. Dissertation (Ph.D. in Agronomy (Plant
Production)) - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001 / The São Paulo Research Foundation – FAPESP. (Advisor).
2. Bruno Rafael de Almeida Moreira. Valorizing by-products from crop harvesting into antioxidants to control pellet
off-gassing. 2023. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil(CAPES) – Finance Code 001. Advisor.
3. Francielle Morelli Ferreira. Machine learning in yield prediction and fiber quality mapping in commercial cotton
fields. 2022. Thesis - UNESP. Advisor.
4. Samira Luns Hatum de Almeida. Remote sensing applied to the SAFER model in the estimation of biophysicalparameters of crops. 2022. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior –Brasil (CAPES) – Finance Code 001. Advisor.
5. Danilo Tedesco de Oliveira. Don't forget the below-ground crops: introducing sweet potatoes into the concept ofdigital agriculture. 2021. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil(CAPES) – Finance Code 001. Advisor.
6. Mailson Freire de Oliveira. Forecasting and estimating crop variables using levels and forms of remote sensing
and machine learning techniques. 2021. Thesis - UNESP, National Council for Scientific and Technological
Development (CNPq). Advisor.
7. Luan Pereira de Oliveira. Quality of sowing of cotton, corn and soybean crops under the action of downward forcesin line. 2021. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES)– Finance Code 001. Advisor.

São Paulo State University

8. João de Deus Godinho Júnior. Does day time influence the efficiency of the mechanized coffee harvesting
operation?. 2021. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil(CAPES) – Finance Code 001. Advisor.
9. Adão Felipe dos Santos. Aerial remote sensing to predict peanut (Arachis hypogaea) maturity. 2019. Thesis UNESP, National Council for Scientific and Technological Development (CNPq). Advisor.
10. Lucas Augusto da Silva Girio. Quality of mechanized planting, transplanting and harvesting of grinding wheels andpre-sprouted sugarcane seedlings. 2018. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível
Superior – Brasil (CAPES) – Finance Code 001. Advisor.
11. Patricia Candida de Menezes. Application of quality tools in mechanized soybean harvesting. 2018. Thesis UNESP. Advisor.
12. Diego Onofre Vidal. Economic evaluation methodology for decision between renovation or reform of agriculturaltractors. 2018. Thesis - UNESP. Advisor.
13. Franciele Morlin Carneiro. Canopy sensors in monitoring of the temporal variability soybean and peanut crops.
2018. Thesis - UNESP, National Council for Scientific and Technological Development (CNPq). Co-Advisor.
14. Carla Segatto Strini Paixão. Univariate and multivariate analysis applied to soybean mechanized harvesting quality.
2017. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance
Code 001. Advisor.
15. Marcelo Tufaile Cassia. Control charts to management of the agricultural operations. 2016. Thesis - UNESP,National Council for Scientific and Technological Development (CNPq). Advisor.
16. Guilherme de Castro Belardo. Multi row sugarcane harvester performance in different conditions of cane fields forthree growing spacing models. 2016. Thesis - UNESP. Advisor.
17. Felipe Santinato. Technological innovations for precision coffee cultivation. 2016. Thesis - UNESP, Coordenação
de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Advisor.
18. Tiago de Oliveira Tavares. Development of a model for fleet sizing in coffee crop. 2016. Thesis - UNESP, National
Council for Scientific and Technological Development (CNPq). Advisor.
19. Elizabeth Haruna Kazama. Technological innovations for Precision Coffee. 2016. Thesis - UNESP, National Council
for Scientific and Technological Development (CNPq). Advisor.

São Paulo State University

20. Murilo Aparecido Voltarelli. Systemic quality management in the sugarcane mechanical harvesting. 2015. Thesis- UNESP, National Council for Scientific and Technological Development (CNPq). Advisor.
21. Cristiano Zerbato. Quality of seeding and digging mechanized of peanuts. 2015. Thesis - UNESP, Coordenação de
Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Co-Advisor.
22. Ariel Muncio Compagnon. Assessment planter sugarcane plow with automatic disarm and rotation of the
distributor belt. 2015. Thesis - UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil(CAPES) – Finance Code 001. Co-Advisor.
23. Evaldo Ferezin. Use of quality tools to determine improvements in peanut digger-inverter designs. 2015. Thesis UNESP. Advisor.
24. Anderson de Toledo. Quality evaluation of base cut sugarcane mechanized harvest. 2012. Thesis - UNESP (Unesp),National Council for Scientific and Technological Development (CNPq). Advisor.
25. Jorge Wilson Cortez. Crop coverage, management of fertilization and chaff in direct sowing of corn and soybean.
2009. Thesis - UNESP (Unesp), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES)– Finance Code 001. Co-Advisor.
26. Gustavo Naves dos Reis. Losses in the green sugar cane harvesting in function of wear of the cutting knives.
2009. Thesis (Ph.D. in Agronomy) - Universidade Estadual Paulista Júlio de Mesquita Filho, Coordenação de
Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Co-Advisor.
27. Danilo César Checcio Grotta. Management of cover crops for no-tillage of corn (Zea mays L.). 2008. 0 f. Thesis(Ph.D. in Agronomy) - Universidade Estadual Paulista Júlio de Mesquita Filho, National Council for Scientific andTechnological Development (CNPq). Co-Advisor.

Postdoctorate supervision
1. Franciele Morlin Carneiro. 2020. UNESP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil(CAPES) – Finance Code 001. Rouverson Pereira da Silva.
2. Adão Felipe dos Santos. Postdoctoral supervision. 2020. UNESP, National Council for Scientific and Technological
Development (CNPq). Rouverson Pereira da Silva.
3. Evaldo Ferezin. Post doctoral supervision: Use of quality tools to determine improvements in peanut digger-inverter
designs. 2018. UNESP, Universidade Estadual Paulista. Rouverson Pereira da Silva.
4. Murilo Aparecido Voltarelli. Planning and Energy Demand in Agricultural Machinery. 2017. UNESP, Universidade
Estadual Paulista. Rouverson Pereira da Silva.

São Paulo State University

5. Murilo Aparecido Voltarelli. 2015. UNESP, Universidade Estadual Paulista. Rouverson Pereira da Silva.
Quantitative indicatorsSão Paulo State University- 10 books published- 206 publications in journals with a selective editorial policy- 38 book chapters- 34 master's thesis supervised and already defended- 27 doctoral dissertations supervised and defended- Number of citations received in the international scientific literature, according to ISI (261), Scopus (448), andGoogle Scholar (1829)- Patents applied for, granted and licensed (2).
Link para a página ORCID, MyResearcherID (ISI) ou MyCitations (Google Scholar).
- ORCID: https://orcid.org/0000-0001-8852-2548- ResearcherID: https://publons.com/researcher/1900582/rouverson-p-silva/- MyCitations:
https://scholar.google.com.br/citations?hl=ptBR&user=7hw3kqIAAAAJ&view_op=list_works&sortby=pubdate- Web of Science: Total number of citations: 392; Papers: 131; H-index: 12- Scopus: Total number of citations: 1205; Papers: 164; H-index: 17- Google Scholar: Total number of citations: 3208; Papers: 544; H-index: 24
Other information
The researcher recently approved projects in partnership with AGCO do Brasil Comércio e Indústria and ZF do Brasil.
In 2017, he received the award for professor of the year from UNESP/FCAV. In 2015, he received the title of honorary
professor at La Facultad de Ingenieria Agricola de la Universidad Nacional del Altiplano de Puno, Peru. Since 2014,
he has been a member of the evaluation and selection committee for the tractor and machine of the year award.

Jaboticabal, Brazil, May 2024.

Rouverson Pereira da Silva, Ph.D