video1.0<iframe src="https://www.loom.com/embed/2a4e86b2da524956a9e299a1dea724b8" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/2a4e86b2da524956a9e299a1dea724b8-f63f864032282b7a.gif1684.045In this video, I discuss the evolving landscape of AI in smallholder agriculture and the critical investments needed from philanthropic and government sectors. I highlight the importance of improving language understanding and tool calling capabilities to better serve farmers in low- and middle-income countries, particularly through platforms like WhatsApp. We’ve seen significant advancements in AI models, with some achieving up to 46% yield increases for farmers. I urge viewers to consider expanding benchmarks for evaluating AI performance beyond English and to invest in creating better datasets that reflect expert agronomic practices. Together, we can enhance the agricultural intelligence available to farmers worldwide.