Yield prediction
It is an advanced field-level yield forecasting tool used throughout the growing season. Using machine learning, it integrates satellite imagery, weather, and soil data to deliver reliable estimates, supporting marketing, financial, and logistics decisions.
It is an advanced forecasting tool designed to provide accurate field-level crop yield predictions throughout the growing season. Powered by a sophisticated machine learning model, it integrates satellite imagery, weather data, and soil information to generate reliable yield estimates, enabling farmers to make proactive marketing, financial, and logistics decisions with greater confidence.
Water production and storage and water use efficiency
Main theme:
North
Region:
300 - 400
Precipitation (mm):
Low
Application difficulty:
1, 2, 8, 5, 10, 13, 15, 14, 12 and 17
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Rural
Sector:
It prevents input waste: By forecasting the crop’s real yield potential, it helps farmers avoid unnecessary late-season fertilizer or water applications, reducing chemical runoff and conserving resources.
It reduces food and fuel waste: Accurate predictions support better harvest logistics planning, minimizing post-harvest losses and reducing fuel waste from inefficient transport.
It improves soil management: Knowing expected yields helps estimate nutrient removal, enabling precise replenishment plans and avoiding over-fertilization for the next season.
Expected environmental impact:
Free
Estimated value:
Links of interest: