This project leverages machine learning and IoT to support farmers in real-time pest monitoring. It uses an EfficientNetV2 model trained on a diverse dataset to detect pests via webcam video feeds. Key features include live video inference, real-time notifications, and pest classification using deep learning. Designed for practical deployment, it offers immediate visual feedback and email alerts when pests are detected.
Smart Agricultural Pest Management System
Smart Agricultural Pest Management System
This project leverages machine learning and IoT to support farmers in real-time pest monitoring. It uses an EfficientNetV2 model trained on a diverse dataset to detect pests via webcam video feeds. Key features include live video inference, real-time notifications, and pest classification using deep learning...
Organization
GitHub user
Deployment Model
Mixed
Agricultural Production Step
Pest management
End User
Farmers, Developers
Category
Used for
Crops
TRL
6-7
Community Engagement
Low
Number of Forks
Country
Universal
Licence
Disclamer
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