video1.0<iframe src="https://www.loom.com/embed/8cacc08516364edca28194267cb3f57e" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/8cacc08516364edca28194267cb3f57e-1717525199851.gif234.482In this video, I provide an overview of the project we worked on for the on-demand annotated hackathon using the AIRF on-demand plugins. The project focuses on a crop suggestion system based on geographical locations and factors that affect crop growth, such as weather, soil, heat stress, and water quality. I explain how the plugins work and demonstrate how they provide crop recommendations based on the selected location. Action requested: Watch the video to understand the project and ask any questions.