WMC-Leafset

Wax gourd (Benincasa hispida (Thunb.) Cogn.), and Mangalore cucumber (Cucumis melo L subsp. agrestis var. conomon) belongs to the Cucurbitaceae family, are widely cultivated across the country due to their high nutritional value, rich mineral content, and short growing cycles making these crops a preferred choice among farmers. This dataset focuses on capturing disease symptoms of cucurbits family species in real-time field conditions with complex background. The dataset consists of image samples containing multiple leaves affected by leaf miner ,pest infestations caused by defoliators captured in varying backgrounds and across stages along with healthy leaves. These serve as a valuable source that can be utilized to develop machine learning solutions to optimize feature extraction and perform object detection and pattern recognition methods in examining early plant disease detection, which is crucial for effective control and timely interventions. The dataset also enables researchers to conduct image pre-processing to improve image quality and leaf segmentation can be performed to remove background noise such as soil, polythene cover, weeds and other objects resembling the foreground. Researchers studying Wax gourd and Mangalore cucumber in different geographical regions or under diverse farming systems can use this dataset for direct comparisons with their own collected data.