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A Lightweight Deep Learning Model for Automated Pest Detection on Mobile

License: Creative Commons Zero v1.0 Universal

Python 100.00%

deep-neural-networks deep-learning mobile precision-agriculture sustainability farming

mobile-pest-identification's Introduction

A Lightweight Deep Learning Model for Automated Pest Detection on Mobile.

User Guide

Step 1. To clone this repository, run:

git clone <this repo>

Step 2. To install dependencies run:

pip install -r requirements.txt

Step 3. Download pest-imagery IP102v1.1 dataset:

Note: This dataset contains more than 75,000 images belonging to 102 categories, only a subset of which is showcased in this repository.

Step 4. To run the model locally, run:

python src/pest.py

This will load the data, train the model and save the mobile optimized version in src/model/pest/. For deploying the model to a mobile app, see PyTorch mobile.

Demonstration on the Wikilimo App:

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