Objectives
- Foster collaboration between agronomists, AI researchers, and agricultural technology innovators to advance sustainable farming solutions.
- Advance AI applications in precision crop management, smart irrigation, pest detection, and agricultural automation systems.
- Explore machine learning for yield prediction, soil health monitoring, climate adaptation, and resource optimization in agriculture.
- Address challenges in agricultural data collection, technology adoption by smallholder farmers, and sustainable farming practices.
- Promote sharing of open agricultural datasets, precision farming tools, and best practices for accessible and scalable food security solutions.
