Degila, J.; Tognisse, I.S.; Honfoga, A.-C.; Houetohossou, S.C.A.; Sodedji, F.A.K.; Avakoudjo, H.G.G.; Tahi, S.P.G.; Assogbadjo, A.E. A Survey on Digital Agriculture in Five West African Countries. Agriculture2023, 13, 1067.
Degila, J.; Tognisse, I.S.; Honfoga, A.-C.; Houetohossou, S.C.A.; Sodedji, F.A.K.; Avakoudjo, H.G.G.; Tahi, S.P.G.; Assogbadjo, A.E. A Survey on Digital Agriculture in Five West African Countries. Agriculture 2023, 13, 1067.
Degila, J.; Tognisse, I.S.; Honfoga, A.-C.; Houetohossou, S.C.A.; Sodedji, F.A.K.; Avakoudjo, H.G.G.; Tahi, S.P.G.; Assogbadjo, A.E. A Survey on Digital Agriculture in Five West African Countries. Agriculture2023, 13, 1067.
Degila, J.; Tognisse, I.S.; Honfoga, A.-C.; Houetohossou, S.C.A.; Sodedji, F.A.K.; Avakoudjo, H.G.G.; Tahi, S.P.G.; Assogbadjo, A.E. A Survey on Digital Agriculture in Five West African Countries. Agriculture 2023, 13, 1067.
Abstract
Agriculture is the primary source of economic growth in many countries in West Africa. It provides food and livelihoods for the population. The purpose of this study is to review the digital agriculture status in five countries, namely Benin, Burkina Faso, Coˆte d’Ivoire, Ghana, and Nigeria. The study consisted of a bibliometric analysis using a database exported from the web of science through a well-defined search string. Additionally, the cases of digital technology deployment in the countries were assessed through a systematic review approach comparing the technologies used in the target countries. Representative articles from the bibliometric review published in the last five years were selected for the comparative analysis. The bibliometric analysis based on 3,249 publications revealed that the research interests have significantly increased since 2014. The top two countries in terms of authors’ nationality were Nigeria and Ghana, respectively. Climate change, Machine Learning (ML) and adoption were the hot topics of discussion. The digital agriculture survey showed that publications in Nigeria were focused on Internet of Things (IoT), Wireless Sensors Networks, blockchain, and Artificial Intelligence (IA) technologies. Ghana also has a strong interest in blockchain, AI, and big data, while Burkina Faso focused on IoT and AI. Cote d’Ivoire and Benin focused only on AI.
Keywords
Digital agriculture; Innovations, Artificial Intelligence; Internet of Things; Machine Learning; West Africa.
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.