Paan_Pata: The Evergreen Heritage of Betel Leaf in Bangladesh Agriculture

The Betel Leaf Disease Dataset was systematically gathered from Khashia Punji in Sreemangal Upazila, Moulvibazar District, Bangladesh, between January 3 and January 7, 2024. Initially, we gathered the raw images and subsequently augment the entire data set for improved efficiency. This dataset consists of three distinct classes: Healthy (800), Blight (800), and Anthracnose (800), capturing various healthy and diseased conditions of betel leaves. The images were captured using a Redmi 6 smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images, taken in PNG format at a resolution of 256 × 256 pixels, were later resized to 640 × 480 pixels at 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 working on plant disease detection and classification. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology, where early diagnosis and leaf health monitoring can significantly improve crop management strategies.