Ash Gourd Leaf Healthy and Disease Dataset
Description
The dataset presentes the pioneering efforts to document and categorize the health conditions of Ash Gourd (Benincasa hispida) plants in Bangladesh, focusing on five main categories: Healthy, Aphid, Downy Mildew, Leaf Curl, and Leaf Miner. This structured dataset comprises 4,460 images, divided into five categories, with each category featuring both Raw and Processed images for versatile analysis and model training. Specifically, the Healthy class includes 1,118 images (803 raw and 315 processed), the Aphid class contains 371 images (140 raw and 231 processed), Downy Mildew comprises 1,647 images (1,066 raw and 581 processed), Leaf Curl has 915 images (528 raw and 387 processed), and the Leaf Miner class totals 409 images (139 raw and 270 processed). This organized approach not only facilitates in-depth analysis but also supports the development of machine learning models for disease classification, providing valuable insights into Ash Gourd plant health.