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dc.contributor.authorDegila, Jules
dc.contributor.authorTognisse, Ida Sèmévo
dc.contributor.authorHonfoga, Anne-Carole
dc.contributor.authorHouetohossou, Sèton Calmette Ariane
dc.contributor.authorSodedji, Fréjus Ariel Kpedetin
dc.contributor.authorAvakoudjo, Hospice Gérard Gracias
dc.contributor.authorTahi, Souand Peace Gloria
dc.contributor.authorAchille, Ephrem Assogbadjo
dc.date.accessioned2023-06-21T09:36:29Z
dc.date.available2023-06-21T09:36:29Z
dc.date.issued2023-05-16
dc.identifier.urihttps://repository.rsif-paset.org/xmlui/handle/123456789/258
dc.descriptionJournal Articleen_US
dc.description.abstractThis study focuses on agriculture, which is the main source of economic growth in many West African countries. In recent years, conventional agriculture has undergone a remarkable evolution and digital technologies are widely used for different purposes. While the world is rapidly using advanced digital technologies to grow their agriculture, Africa seems to be lagging behind, especially West Africa. To know how to contribute effectively, it is important to know what is being performed about this issue. The objective of this study is to examine the state of digital agriculture in five countries, namely, Benin, Burkina Faso, Côte d’Ivoire, Ghana, and Nigeria. The study consisted of an analysis of the scientific contributions of these countries and the cases of actual deployment. This is carried out by means of a bibliometric study based on data collected from the Web of Science and a comparative review of the technologies used in the target countries using data from several sources, such as IEEE, Scopus, Science Direct, Google Scholar, etc. The bibliometric analysis based on 3249 publications revealed that research interests have increased significantly since 2014. Climate change, machine learning (ML), and adoption have been the hottest topics of discussion and most of the organizations working on the topic are academic bodies. Moreover, a considerable amount of the scientific input was obtained from Nigeria, which is the most populous of the five countries considered. The survey on digital farming showed that publications in Nigeria that address deployment cases were focused on the internet of things (IoT), wireless sensor networks, blockchain, and artificial intelligence (AI) technologies. In Ghana, practical cases of blockchain, AI, and big data deployment were observed, while Burkina Faso focused on IoT and AI. In Côte d’Ivoire and Benin, the deployment cases generally focused on AI.en_US
dc.publisherAgricultureen_US
dc.subjecttechnologies; innovations; agriculture; artificial intelligence; internet of things; machine learningen_US
dc.titleA Survey on Digital Agriculture in Five West African Countriesen_US
dc.typeArticleen_US
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