BDRubberLeaf: A Comprehensive Dataset of Rubber Tree Leaf Diseases from Bangladesh for Agricultural Research
Description
The Rubber Leaf Disease Dataset is a comprehensive collection of high-quality images of rubber tree leaves, systematically gathered from a Rubber Garden in Sreemangal Upazila, Moulvibazar District, Bangladesh, between December 23 and December 27, 2024. The dataset consists of four distinct classes: Anthracnose, Dry Leaf, Healthy Leaf, and Leaf Spot, which represent various stages of both diseased and healthy conditions in rubber tree leaves. The total dataset contains 1,740 images, with class-wise distribution as follows: Anthracnose (300 images), Healthy Leaf (506 images), Dry Leaf (450 images), and Leaf Spot (484 images). The images were captured using the Realme 6i smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images were captured in jpg format at a resolution of 4000 × 3000 pixels, later resized to 640 × 480 pixels with a resolution of 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners focused on plant disease classification and early disease detection in rubber trees. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology analysis, where understanding leaf conditions can play a critical role in improving crop health management strategies.