Plant disease detection and Solution using Image Classification

🍃 Code, studies, and explorations on plant leaf diseases and leaf type classifications. Final project for UC Berkeley MIDS 207 (Machine Learning)

This project is developed based on Convolutional Neural Networks.

A CNN model for detecting leaf diseases.

Apple Tree Diseases Predication using Image Classification

U-Net segmentation algorithm with options of pretrained resnet34 and resnet50 encoders. All of the project dockerized with gpu suppport on anaconda environment with multiple loss support..

Tea Leaf disease Classification

Image classification of cassava leaf diseases. This is based on the Kaggle competition of the same title.

Membuat Aplikasi Leaf Diseases dengan Flutter | Deteksi Penyakit Pada Tanaman

Agriculture project notes and references

End-to-end model pipeline consisting of classification and segmentation models to classify crop diseases with high certainty. Focus on production and real-life scenarios.

a robust method of classification and recognition of coffee leaf diseases using both classical ma learning and deep learning methods, also a custom CNN. These methods were evaluated on the Arabica coffee leaf dataset known as JMuBEN.

A deep learning based system ot recognize potato leaf disease by capturing or uploading image.

Final project for undergraduate thesis to create app that detect yellow leaf disease caused by begomovirus

AI/ML based web application powered by Streamlit.

CNN model with Transfer Learning to predict bell pepper leaf disease by images using image processing