Leveraging AI for climate resilient agriculture: 2023 financial inclusion week

• by MSC
• Nov 16, 2023
• 1 min

AI in agriculture is moving toward hyper-personalization and multimodal models, which use diverse data sources for personalized solutions. Institutions should embrace the transformative AI potential to benefit smallholder farmers and build a resilient agriculture ecosystem.

In the evolving landscape of AI for agriculture, the future lies in hyper-personalization and multimodal models. AI will increasingly use diverse data sources, which include images and videos, to offer personalized solutions. The focus is on enhancing localization, predicting trends, and addressing challenges, such as climate change and market fluctuations. As AI becomes more integrated, institutions should embrace its transformative potential to benefit smallholder farmers, ensure the services are tailored to their unique needs, and contribute to a more sustainable and resilient agriculture ecosystem.