Pest/Disease Detection
It is a diagnostic tool that enables the rapid identification of crop pests and diseases from field images. Using advanced computer vision models, users can upload a photo and receive an immediate diagnosis with a confidence level, supporting early and targeted treatments to protect crop yields.
It is an advanced diagnostic tool designed for the rapid identification of crop pests and diseases directly from field images. Using sophisticated computer vision models, users can upload a photo of a plant to receive an immediate and accurate diagnosis of potential threats, along with a confidence percentage, enabling early and targeted treatments to protect crop yields.
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:
By providing a rapid and accurate diagnosis, the application enables farmers to avoid broad-spectrum spraying “just in case.” Instead, they can apply the correct treatment—often less toxic and more targeted—for the identified pest or disease. This offers several key advantages:
Minimization of chemical runoff: Using fewer and more specific chemicals protects soil health and prevents contamination of nearby waterways.
Protection of biodiversity: It helps safeguard beneficial non-target organisms, including crucial pollinators such as bees, from the collateral damage of indiscriminate chemical applications.
Reduction of pesticide resistance: Precise and appropriate pesticide use helps slow the development of resistance in pest populations, preserving the effectiveness of existing treatments.
Expected environmental impact:
Free
Estimated value:
Links of interest: