As proprietary technology systems increasingly deploy artificial intelligence to centralize agricultural advice and enclose farm data, how can open-source networks utilize these same tools for community empowerment? This 60-minute session moves away from high-level theoretical debates to look at real-world case studies of AI applied to agroecology. Opened by Anamika Dey, the session features four short presentations illustrating how open-source software, voice-first data processing, and localized models can protect indigenous knowledge, automate documentation, and elevate the lived expertise of land stewards.