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.
Country:
_svg.png)
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: