UGV - Guava Leaves Disease Dataset Bangladesh
Description
The Guava Leaf Image Dataset is a curated collection of annotated guava leaf images developed at the University of Global Village (UGV), Barishal, Bangladesh. It aims to support research in smart agriculture, particularly in plant disease detection using computer vision and machine learning. Guava (Psidium guajava), a widely cultivated tropical fruit, is vulnerable to various diseases that affect crop yield and quality. This dataset offers a structured image resource to facilitate the development of automated diagnostic tools. The dataset is organized into seven folders: Canker, Curling, Rust, Healthy, Nutritional Deficiency, Leaf Spot, and Powdery Mildew. Each folder contains images of guava leaves classified based on visible symptoms. These categories reflect common diseases and conditions that affect guava plants, allowing for the training and evaluation of AI models. Canker includes leaves showing raised, dark brown lesions caused by bacterial infection. Curling represents leaves deformed due to viral attacks or environmental stress. Rust features leaves with orange-yellow powdery fungal spores. Healthy contains leaves with no visible damage, serving as a baseline. Nutritional Deficiency includes yellowed or browning leaves caused by lack of essential nutrients. Leaf Spot captures leaves with dark spots due to fungal infections. Powdery Mildew contains leaves with white, dusty fungal growth. Images were taken in natural daylight using digital and smartphone cameras, ensuring realistic field conditions. Expert validation by plant pathologists at UGV ensures accurate labeling. The dataset supports machine learning tasks like image classification, model training, and precision agriculture applications. Though limited to one geographic region, the dataset is a valuable tool for researchers, students, and developers working on crop disease detection. Future versions could include metadata, multi-angle images, and samples from diverse regions. Overall, the dataset provides a practical and scientifically grounded resource for improving guava farming through technology.