mlsanityData to 7 Oct 2026

Harnessing Artificial Intelligence for Sustainable Agricultural Development in Africa: Opportunities, Challenges, and Impact

arXiv 2401.06171 ↗First posted 3 Jan 2024cs.CY cs.AIcited by 2

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Abstract (arXiv)

This paper explores the transformative potential of artificial intelligence (AI) in the context of sustainable agricultural development across diverse regions in Africa. Delving into opportunities, challenges, and impact, the study navigates through the dynamic landscape of AI applications in agriculture. Opportunities such as precision farming, crop monitoring, and climate-resilient practices are examined, alongside challenges related to technological infrastructure, data accessibility, and skill gaps. The article analyzes the impact of AI on smallholder farmers, supply chains, and inclusive growth. Ethical considerations and policy implications are also discussed, offering insights into responsible AI integration. By providing a nuanced understanding, this paper contributes to the ongoing discourse on leveraging AI for fostering sustainability in African agriculture.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 2 of its 43 references that are in the map. First posted on arXiv 3 Jan 2024.

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2 of 43 references.

References · 2

  1. 2019Analog forecasting of extreme-causing weather patterns using deep learningcited by 33
  2. 2018Agricultural Robotics: The Future of Robotic Agriculturecited by 17

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