nisala1997/Crop-Disease-in-Uganda

Deep Learning for Computer Vision ## Crop Disease in Uganda ### 🌿 Deep Learning for Computer Vision This project leverages deep learning techniques to detect crop diseases in Uganda using computer vision. It involves training a model to classify cassava diseases based on image data. request dataset : Download Dataset ### 📌 Project Overview #### Goal: Develop a deep learning model to identify cassava diseases from leaf images. #### Dataset: Images of cassava leaves labeled with diseases such as: * Cassava Green Mottle (CGM) * Cassava Bacterial Blight (CBB) * Cassava Mosaic Disease (CMD) * Cassava Brown Streak Disease (CBSD) * Healthy Cassava Leaves #### Model: Convolutional Neural Networks (CNNs) for image classification #### Frameworks Used: TensorFlow, PyTorch, OpenCV, Matplotlib.