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Pest detection with computer vision
Convolutional neural network models that identify crop pests from real-time video, in collaboration with IIMAS at UNAM.
- Client
- IIMAS-UNAM
- Industry
- Agriculture
The problem
Pests are detected late, once crop damage is already done and more agrochemicals are needed.
What we solved
Computer vision models trained to recognize pests in video, so growers get early alerts and act only where needed.
Technologies
- Python
- Redes neuronales convolucionales
- Visión computacional