Advanced Predictive Analytics for Early Crop Disease Detection

What is it?

Field-level disease predictive analytics uses machine learning and data science to forecast potential crop diseases.

• Analyzes crop growth stage, hybrid data, local weather patterns, and other risk factor data to offer early warnings of disease risks at critical times during the season.
• Allows you to take preventative action, such as fungicide applications, before diseases can significantly affect crop health and yield.

The Predictive Disease Model forecasts:

• • Corn
    • Northern corn leaf blight
    • Gray leaf spot
    • Tar spot
  • Soybeans
    • Frogeye leaf spot
    • Target spot
    • Septoria brown spot

Guiding Data-Driven Management Decisions

Monitors environmental factors such as temperature, humidity, precipitation, and soil health to stay ahead of potential disease pressure. The model also includes a 5-day disease forecast, which can help inform the decision to apply a fungicide. It then delivers real-time alerts, enabling you to prioritize what needs attention so you can make timely, data-driven management decisions.

Steps to Value

Sign up for the disease risk module via your territory manager.

• Submit the required information to run the model.
• Get live disease risk updates to protect yield from potential threats. Once activated, fields will display the disease risk level from “low risk” to “high risk”:
  
• Provide fungicide application details to mark fields as “protected” from disease risk. It will display as:
  

To learn more about AGMRI or sign up, contact us at sales@intelinair.com.