Across multiple sources, the discussion centers on how artificial intelligence (AI) could support agriculture while also highlighting risks that could disadvantage smallholder farmers. The articles describe agriculture as facing mounting pressures, including climate change, land degradation, labor shortages, supply chain disruptions, and rising demand for food from a growing population. In this context, AI tools are presented as potentially useful for improving aspects of farming such as decision-making and productivity. However, the sources stress that the benefits are not automatic. They argue that AI solutions must be designed and deployed with the specific needs and realities of African and other developing countries in mind. Without appropriate tailoring, smallholder farmers could be excluded from the advantages of these technologies due to differences in local conditions, access to data, infrastructure constraints, and practical usability. Overall, the sources converge on the view that AI offers promise for agriculture, but achieving equitable outcomes depends on ensuring that tools are relevant, accessible, and fit for purpose for smallholder producers rather than being developed for other settings.