This project is developed based on Convolutional Neural Networks.
A CNN model for detecting leaf diseases.
🍃 Code, studies, and explorations on plant leaf diseases and leaf type classifications. Final project for UC Berkeley MIDS 207 (Machine Learning)
Tea Leaf disease Classification
Apple Tree Diseases Predication using Image Classification
Image classification of cassava leaf diseases. This is based on the Kaggle competition of the same title.
AI/ML based web application powered by Streamlit.
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.
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.
Agriculture project notes and references
CNN model with Transfer Learning to predict bell pepper leaf disease by images using image processing
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