An AI-driven calendar framework for farmers, available as an app or API. Our tech is designed to optimize farming schedules without the need for farmers to consult weather forecasts or other decision support tools. Through the use of satellite-based local weather and soil data, along with our proprietary database of agronomic parameters, our algorithms are able to calculate the ideal time to conduct a range of farming tasks, for a variety of crops and soil types. These include harvesting, tilling, seeding, spraying and more. We work with space tech from ESA, the latest AWS cloud technologies like Lambda and DynamoDB, Python for most of our API backend, and Golang for our math-heavy algorithms.