## 5 Discussion and Conclusions
### Practical Implications, Policy Recommendations and Future Research  
The new technologies are here, and there is relevant research about the digital transition in Era 4.0, as well as about its contribution to improvements in the farms and food chain efficiency. Nonetheless, some constraints remain, namely, those related to the difficulties felt by farmers in implementing digital approaches. In terms of practical implications, it seems that there is still significant work to be done in these fields to motivate and prepare farmers to adopt these new approaches. For policy recommendations, it is suggested to governments, national and international institutions and organizations that they create and make available more scientific and technical financing programs, supplying resources and promoting skills among farmers and informing them about the advantages of new technologies. The main limitations of this research are related to the need to investigate databases with information from applied social sciences (economics, management and business) that allow comparing their results with this research, as well as to explore dimensions associated with the limitations felt by farmers and food chain operators in implementing the digital transition in their respective activities and sectors. These can be explored in future studies. Conceptualization, V.J.P.D.M. ; methodology, V.J.P.D.M. and C.A.d.S.C. ; software, V.J.P.D.M. ; validation, V.J.P.D.M., C.A.d.S.C., M.L.P., P.J.L.C., M.C.S.-C., N.G., R.N.R. and F.C. ; formal analysis, V.J.P.D.M. and C.A.d.S.C. ; investigation, V.J.P.D.M., C.A.d.S.C., M.L.P., M.C.S.-C., N.G., R.N.R. and F.C. ; resources, V.J.P.D.M. ; writing--original draft preparation, V.J.P.D.M. ; writing--review and editing, V.J.P.D.M., C.A.d.S.C., M.L.P., P.J.L.C., M.C.S.-C., N.G., R.N.R. and F.C. ; visualization, V.J.P.D.M., C.A.d.S.C., M.L.P., P.J.L.C., M.C.S.-C., N.G., R.N.R. and F.C. ; supervision, V.J.P.D.M. ; project administration, V.J.P.D.M. ; funding acquisition, V.J.P.D. * _[PERSON] et al. (2021)_ [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Smart Agriculture Prediction System for Vegetables Grown in Sri Lanka. In Proceedings of the 12 th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON, Vancouver, BC, Canada, 27-30 October 2021; Institute of Electrical and Electronics Engineers Inc.: Piscataway, NJ, USA, 2021; pp. 246-251. * _[PERSON] (2021)_ [PERSON] Mapping the Diversity of Agricultural Systems in the Cuellalie Sector, Cotacachi, Ecuador Using ATL08 for the ICESat-2 Mission and Machine Learning Techniques. In Proceedings of the 21 st International Conference on Computational Science and Its Applications, ICCSA, Cagliari, Italy, 13-16 September 2021; Springer Science and Business Media Deutschland GmbH: Berlin, Germany, 2021; p. 181, ISBN 03029743 (ISSN); 9783030870126 (ISBN). * _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Maize Yield Forecasts for Sub-Saharan Africa Using Earth Observation Data and Machine Learning. _Global Food Secur._**2022**, _33_, 100643. [CrossRef]
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