Comprehensive Multi-Class Image Dataset of Jackfruit (Artocarpus heterophyllus) Leaf Diseases

This dataset contains jackfruit (Artocarpus heterophyllus) leaf images collected from Savar and Rajbari districts of Bangladesh. The images were captured using a smartphone camera under natural field conditions. The dataset covers six classes: Blight, Dried, Fungal_Spot, Healthy, Leaf_Miner, and Pest_Damage. It provides a valuable resource for plant disease detection, classification, and precision agriculture research. The dataset can be applied in developing deep learning and machine learning models to support early identification of jackfruit leaf diseases, which will help farmers and researchers enhance crop health management and improve agricultural productivity.

Dataset Classes and Image Counts:
Blight:500 images
Dried:500 images
Fungal_Spot:500 images
Healthy:500 images
Leaf_Miner:500 images
Pest_Damage:500 images

Image Details:
Original image resolution:3072 x 4096
Resized image resolution:480 x 560
Image format: JPG
Color mode: RGB
Collection device: Smartphone camera
Location: Savar and Rajbari districts, Bangladesh