What is AI4AgSys? Developing effective adaptation and mitigation strategies is both urgent and essential for farmers, our primary clients. This project aims to co-develop an AI-based platform for Michigan's farmers to forecast the production of four major crops: corn, soybean, wheat, and potatoes.
AI4AgSys will be a large-scale, pre-trained deep learning forecasting system trained on massive, diverse datasets using self-supervised and multi-task learning techniques. In this Big Data approach, the system learns by predicting parts of the data from other parts, reducing the need for extensive labeled datasets.
It integrates machine learning, remote sensing, and field data by synthesizing satellite imagery, weather station data, crop model outputs, and historical yield records to generate near-real-time and seasonal forecasts of crop productivity and climate risk.
By making AI-driven insights actionable at the farm level, AI4AgSys supports more resilient and sustainable food production in the face of increasing climate variability across the Great Lakes region.
- Responses should pertain only to your Michigan property.
- The primary decision-maker for the property should complete this survey.
- Project website and online survey access: https://lees.geo.msu.edu/research-ai4agsys.html
- Questions? Contact Dr. Jiquan Chen at (517) 884-1884. Cell phone availability is provided upon request.
- This survey has been reviewed and approved by the Michigan State University Institutional Review Board (IRB) to help protect your private information.
LEES Lab — AI4AgSys Farmer Survey