FarmVibes.AI is a modular, open-source framework for building geospatial machine learning models tailored to agriculture and sustainability. It supports the fusion of diverse spatiotemporal datasets—including satellite imagery (Sentinel-1/2, NAIP), drone data, elevation maps, and weather information—to generate robust insights such as carbon estimation, crop growth analysis, and farming practice detection. The platform includes tools for data ingestion, preprocessing, and model training, along with pre-built workflows and notebooks optimized for remote sensing and Earth observation tasks in agriculture.