Cocoa disease alert
It is a predictive tool that estimates the monthly risk of Black Pod Disease in cocoa-producing regions. Using a machine learning model and geolocated data, it allows users to enter their farm’s coordinates and receive an early warning about outbreak risk.
It is a specialized predictive tool designed to forecast the monthly risk of Black Pod Disease in major cocoa-producing regions. Using a machine learning model that analyzes location-specific data, users can enter their farm’s coordinates to receive a prediction of the expected percentage of disease outbreaks, providing a crucial early warning 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 an early warning of disease risk, the application enables cocoa producers to shift from a calendar-based preventive spraying schedule to a targeted, as-needed approach. This offers several key advantages:
Minimized chemical runoff: Applying fungicides only when necessary significantly reduces the amount of chemicals that may contaminate soil, groundwater, and local streams, protecting aquatic life and soil health.
Biodiversity protection: Reduced chemical use helps preserve beneficial non-target organisms, such as pollinators and essential insects within the farm ecosystem.
Improved land-use efficiency: By preventing major crop losses due to disease, the tool helps maximize yields on existing farmland, reducing economic pressure to clear sensitive forest habitats for new cocoa plantations.
Expected environmental impact:
Free
Estimated value:
Links of interest: