HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE

Obasi S.n (), Tenebe V. A, Obasi C.c, Jokthan G.e, Adjei E.a and Keyagha E.r
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Obasi S.n: Department of Crop and Soil Sciences, Faculty of Agricultural Sciences, National Open University of Nigeria, Kaduna Campus
Tenebe V. A: Department of Crop and Soil Sciences, Faculty of Agricultural Sciences, National Open University of Nigeria, Kaduna Campus
Obasi C.c: Department of Crop Science and Horticulture, Nnamdi Azikiwe University, Awka
Jokthan G.e: Africa Centre of Excellence on Technology Enhanced Learning (ACETEL), National Open University of Nigeria
Adjei E.a: CSIR-Savana Agriculture Research Institute, P.O. Box TL 52Tamale Ghana
Keyagha E.r: Department of Crop Science and Technology, Federal University of Technology Owerri

Big Data In Agriculture (BDA), 2024, vol. 6, issue 1, 01-13

Abstract: Artificial Intelligence (AI) has emerged as a transformative tool in the agricultural sector, particularly in spatial analysis and precision farming. This study explores how AI is influencing precision agriculture and spatial analysis, with particular attention to the opportunities and problems that the African agricultural landscape presents. The paper examines the current progress of AI integration and emphasizes the transformative potential of technology in revolutionizing farming practices across all agro-ecological zones in Africa. The project explores adapting precision farming to enhance crop yields, soil health, and mitigate climate change concerns using AI technologies such as sensor-based monitoring and satellite imaging analysis. Examining the socio-economic effects of AI adoption in agriculture in the African context, light is cast on how this technology may promote both economic growth and sustainable development. This research contributes to the knowledge of AI’s revolutionary impact on agricultural practices in Africa by addressing important aspects of precision agriculture and spatial analysis, opening the door for creative, effective, and sustainable farming methods. Using AI to precisely monitor crops, evaluate soil health, and improve decision-making through weather forecasting are some of the main areas of focus. The study looks at the prospects, difficulties, and socioeconomic effects of using AI in agriculture in several agro-ecological zones of Africa. In addition, it offers suggestions for policymakers, lists best practices, and indicates future lines of inquiry to fully utilize AI in advancing resilient and sustainable agriculture across Africa.

Keywords: Precision agriculture; soil health assessment; crop monitoring; sustainable agriculture (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:6:y:2024:i:1:p:01-13

DOI: 10.26480/bda.01.2024.01.13

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