Technology that goes beyond the obvious.
Multimodal artificial intelligence, computer vision and agronomic knowledge to investigate problems on your farm.
A farm can tell its story in many ways.
The Cocoa App combines different types of information to better understand the reported problem.
Voice
The farmer describes symptoms by audio. The app understands the context and the language used in the field.
Text
Questions and information can be sent in a simple way.
Image
Photos of leaves, pods and stems can be used to deepen the investigation.
Geographic intelligence
Recommendations adjusted to the climate and soil of the region can support an analysis closer to the reality of the farm.
The image is also part of the investigation.
The Cocoa App uses visual analysis to identify patterns related to pests, diseases and nutrient deficiencies.
Images can be sent in the Diagnosis Room when a deeper investigation is needed.
Technology built from knowledge about cocoa.
The Cocoa App was developed with contributions from specialists in different areas related to cocoa.
This knowledge is used to build and train the artificial intelligence.
A first step with a large impact.
In this first launch phase, the Cocoa App supports visual and symptom-based identification of a set of common problems in cocoa farms in southern Bahia.
Witches’ broom spot
Preliminary identification
More knowledge for a stronger farm.
The Cocoa App is constantly evolving. In the next phases, the project aims to expand the number of identified problems and include new management features.
More diseases, pests and deficiencies
Expanding the number of problems covered by the algorithm.
New management features
Adding recommendations on fertilization, pruning and other practices.
Wageningen model
Integration of the visual identification model developed by Wageningen University, in the Netherlands.
Continuous evolution
New data, images and technical knowledge to make the Cocoa App increasingly complete and useful for farmers.