Nutrient deficiency
It is an intelligent diagnostic tool designed to instantly identify nutrient deficiencies in crops from a single photograph. Using a machine learning model, users can upload a crop image to receive an accurate diagnosis with a confidence score, enabling fast and targeted field treatment.
It is an intelligent diagnostic tool designed to instantly identify nutrient deficiencies in crops using a single photograph. Powered by a machine learning model, users can upload a crop image to receive an accurate deficiency diagnosis with a confidence score, enabling fast and targeted field treatment.
Water production and storage and Efficiency in water use
Main theme:
North
Region:
300 - 400
Precipitation (mm):
Medium
Application difficulty:
1, 2, 8, 5, 10, 13, 15, 14, 12 and 17
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Urban/Rural
Sector:
It reduces fertilizer pollution: By identifying the exact deficiency, it prevents the excessive use of broad-spectrum fertilizers, dramatically reducing nutrient runoff into waterways and lowering greenhouse gas emissions.
It eliminates chemical waste: It ensures the correct nutrient is applied from the first application, conserving the finite resources used to produce fertilizers and avoiding ineffective treatments.
It protects soil health: Applying only the missing nutrient prevents unnecessary chemical impacts on the soil, helping preserve long-term soil health and ecosystem balance.
Expected environmental impact:
Free
Estimated value:
Links of interest: