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Theory Development for AI-Driven Transformation of Rural Small Farmers in Africa

Domaine:

agricultureeducation

Type de record:

paper
Créateur:
Eli
Éditeur:
IGI
Hôte:
This paper explores the transformative potential of artificial intelligence (AI) in enhancing the livelihoods of rural smallholder farmers in Africa. While AI applications like precision farming, automated crop monitoring, and market intelligence offer significant benefits, their adoption is hindered by challenges such as digital illiteracy, poor infrastructure, and financial constraints. Drawing on educational theories, particularly Piaget/Vygotsky's and Knowles' frameworks, the study proposes the Baby Steps Theory of Development (BSTD) to facilitate incremental, hands-on learning for AI adoption. By addressing contextual learning needs and fostering gradual skill-building, this approach aims to empower farmers to effectively integrate AI into sustainable agricultural practices.

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