This application provides weather-based forecasting and risk assessments for various crop diseases, helping farmers, crop advisors, and agricultural researchers to make data-driven decisions.
How it works
The application uses data from the IBM Environmental Intelligence Suite gridded site-specific weather data source. Crop disease models were developed based on disease information from university researchers around the country, including partners of the Crop Protection Network. To learn more about the crop disease forecasting tool, watch this step-by-step video: How to Use the Crop Disease Forecasting Tool.
Contacts
Ben Bradford (Data Scientist and Programmer): bbradford@wisc.edu; Damon Smith (Extension Plant Pathologist): damon.smith@wisc.edu; and Crop Protection Network: info@cropprotectionnetwork.org.
Sponsors
This project is powered by the National Predictive Modeling Tool Initiative (NPMTI), which is part of USDA-ARS. The crop disease forecasting tools are developed in collaboration with the University of Wisconsin–Madison Department of Entomology.
Each crop disease forecasting tool is supported in part with checkoff funding. Soybean forecasting models are partially supported by the North Central Soybean Research Program (NCSRP), the United Soybean Board (USB), the Atlantic Soybean Council, the Mid-South Soybean Board, and the Southern Soybean Research Program.
Disclaimer: This information is only a guide and based on university research and validation. Contributors and data managers along with the Crop Protection Network assume no liability resulting from the use of these tools.
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