Agri AI 2026

Agriculture is undergoing a rapid transformation driven by digital technologies, including IoT sensors, drones, satellite imagery, and mobile platforms, which generate vast streams of heterogeneous, temporally rich data. These advancements offer unprecedented opportunities for AI to enable smarter, more resilient, and efficient agricultural practices. As climate change increases variability in crop yields, pest outbreaks, and resource availability, traditional agricultural methods are proving inadequate in addressing these challenges. Although AI has started to tackle these issues through applications like crop forecasting, disease detection, and irrigation optimization, many existing solutions remain narrow in focus, difficult to generalize, and often lack scalability and adaptability. Furthermore, important human-centered concerns, such as transparency, fairness, and participatory system design, are often underexplored. The First International Workshop on AI in Agriculture (Agri AI), co-located at AAAI 2026, aims to address these gaps by bringing together researchers and practitioners to advance robust, responsible, and scalable AI methods tailored to real-world agricultural systems.