FarmMind Tutorials
Model Selection
FarmMind allows you to select different models based on your needs for a conversation. You can select models using the model selector dropdown on the left above the chat input bar.
Agriculture Core
Our flagship model for reliable agricultural insights
Agriculture Core is our flagship model, built to provide balanced, reliable insights for a wide range of agricultural decision-making scenarios. It combines robust agronomic logic with the latest EPA and USDA guidance to support consultants, agronomists, and producers in everything from crop planning to compliance questions. Optimized for accuracy, this model is your go-to for everyday farm intelligence across all major crops and regions.
Pesticide Model
Fast, accurate results for pesticide use and restrictions
The Pesticide Model is engineered to rapidly analyze pesticide labels, active ingredients, and region-specific use restrictions. Whether you're navigating pre-harvest intervals, resistance risks, or re-entry intervals, this model provides consultant-grade guidance backed by current regulatory databases. Ideal for ag professionals needing fast, confident answers on chemical use, safety, and legal compliance.
SoilSense Model (BETA)
Analyze soil tests & get fertilizer recommendations
Analyze soil and nutrient tests in ANY FORMAT and get fertilizer recommendations based on the latest research and standards.
Use it in 3 easy steps:
- Upload your soil or nutrient test results in any format (PDF, image, text).
- Ask a question about your soil health or nutrient needs. A simple 'Analyze my soil test' works great.
- Answer any follow-up questions and watch as Farmer AI analyzes EACH section of your test results to provide tailored fertilizer recommendations.
Note: Currently only supports 3 soil tests per request. For more, please contact support@farmmind.org
GeoSense Model (BETA)
Analyze geospatial data for better field insights
GeoSense Model leverages advanced geospatial analysis techniques to provide insights into field variability, soil health, and crop performance. By integrating satellite imagery, weather data, and soil maps, this model helps farmers make informed decisions about resource allocation and field management.