This project implements a real-time pest monitoring system using the EfficientNetV2B0 deep learning model. Trained on a diverse Kaggle dataset of pest images (e.g., ants, beetles, caterpillars, snails), the model performs live inference on webcam feeds using OpenCV. The system overlays detected pest classifications directly onto the video, helping farmers make fast, informed decisions in the field.
Agricultural Pests Management
Agricultural Pests Management
This project implements a real-time pest monitoring system using the EfficientNetV2B0 deep learning model. Trained on a diverse Kaggle dataset of pest images (e.g., ants, beetles, caterpillars, snails), the model performs live inference on webcam feeds using OpenCV...
Organization
GitHub user
Deployment Model
Mixed
Agricultural Production Step
Pest management
End User
Farmers, Developers
Category
Used for
Crops
TRL
5-6
Community Engagement
Low
Number of Forks
0
Country
Universal
Disclamer
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