Jute Leaf Disease Detection Dataset

This comprehensive dataset comprises 920 images of jute leaves collected from the agricultural heartlands of Dinajpur and Brahmanbaria, Bangladesh. It categorizes each image into one of three classes: Healthy, Cercospora Leaf Spot, or Golden Mosaic. Developed with the cooperation of local agricultural authorities, this dataset serves as a vital tool for advancing agritech. It enables the development of precise machine learning algorithms for detecting and classifying diseases in jute plants, contributing to enhanced crop health and sustainable farming initiatives. Perfect for agritech developers and AI researchers, this dataset is geared toward improving jute crop management and disease control.