In the sub-area of Intelligent pest and disease monitoringwe have developed innovative methods for monitoring and diagnosing pests and diseases, which combine precision technologies with traditional field evaluation techniques, creating robust agricultural surveillance systems.
Our aim is to collect and analyze data on an ongoing basis, transforming it into automatic detection and risk prediction models that use artificial intelligence to anticipate and prevent the proliferation of pests and diseases.
We use a wide variety of information sources - from climate, satellite, soil and local data, to images collected by drones equipped with thermal cameras and advanced image sensors. This integration allows us to model the progression of pests and diseases in real time and offer high-precision monitoring and diagnostic services.
Thanks to these tools, we have been able to provide farmers with personalized alerts and practical recommendations about the incidence of pests on their crops. This decision support service helps identify the ideal time to apply phytosanitary treatments or harvest, promoting more efficient and sustainable agricultural management.
As in the Data Science and Bioinformatics, Here too, we work closely with producer associations and agricultural operational centers, ensuring that the solutions developed respond directly and effectively to the sector's needs.
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