The Ag Climate Viewer provides a convenient way to access customized historical climate and crop yield data for the U.S. Corn Belt.

cli-MATE is a free, interactive self-service portal that provides access to a wide range of historical and recent climate data across the United States.

The Weed Emergence Scouting Tool (W.E.S.T.) serves as an experimental, real-time decision support system that assists Midwest farmers and advisors in estimating the timing of key agronomic weed emergence (specifically giant ragweed and waterhemp) by utilizing growing degree day (GDD) models. By monitoring local GDD accumulations (base 48°F) and weather forecasts, W.E.S.T. facilitates more timely and effective weed management, particularly in light of rising herbicide resistance.

This application offers weather-based forecasting and risk assessments for various crop diseases, enabling farmers, crop advisors, and agricultural researchers to make informed, data-driven decisions. 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.

The IEM: Pest Forecasting Maps tool enables users to create degree day maps for selected pests using customizable base and ceiling values and daily temperature data. This supports timely scouting and management for key insect pests in the region.

MyPest Page provides maps that utilize a baseline temperature threshold overlaid with a specific invasive species, fruit, or pest set as the model output. Users can present data in various formats, from tables to graphs to raw data listings.

The purpose of these calculators is to share economically important information on estimated crop losses from diseases and insect pests. These calculators query various types of production and disease or insect pest yield loss data based on a range of user-defined factors. The goal is to better inform industry agronomists, researchers, extension workers, commodity groups, and funding agencies about the impact of diseases and insect pests on corn, cotton, soybean, and wheat production, directing limited time and resources more effectively.

Use this web tool to help train your eyes for more accurate disease and defoliation ratings on field crops. Crop scouts and researchers often overestimate the amount of disease severity or defoliation on leaves, and the activities here will help hone assessment skills for common crop diseases and insect pests.

View results from university uniform corn fungicide trials conducted in the United States and Canada, and calculate the potential return on investment (ROI) for corn fungicide application across a variety of user-defined factors, which is based on research data.

The fungicide efficacy tool was designed to quickly filter the fungicide efficacy table data created by the Crop Protection Network. Efficacy ratings were determined by field testing over multiple years and locations. Efficacy depends upon proper application timing, rate, and application method to achieve optimum effectiveness of the fungicide as determined by labeled instructions and overall level of disease in the field at the time of application.

Download and print 3D models to help train for more accurate disease and insect injury severity in integrated pest management (IPM) and field crop research.

The MRCC Climate Summary Reports page provides regularly updated summary reports.