Articles
Classification of symptoms caused by watermelon mosaic virus (WMV) on melons using deep learning: design of a lightweight model and mobile deployment
Published : 20 January 2026
Abstract
This project explores the application of Deep Learning to the automatic classification of symptoms caused by the watermelon mosaic virus (WMV) on melon, a crop heavily affected by this virus. A lightweight classification model was designed and trained on leaf images, then converted to TFLite format for on-board deployment on smartphones. Particular attention was paid to data preparation, visual noise reduction and mobile compatibility. The resulting mobile application enables rapid, localised prediction of disease stages, paving the way for diagnostic support in experimental conditions.
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