This project is developed based on Convolutional Neural Networks.

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

A CNN model for detecting leaf diseases.

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

Apple Tree Diseases Predication using Image Classification

Membuat Aplikasi Leaf Diseases dengan Flutter | Deteksi Penyakit Pada Tanaman

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

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.

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.

AI/ML based web application powered by Streamlit.

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

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

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