Paddy crop disease detection using machine learning. Jun 6, 2025 · In our study, w...
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Paddy crop disease detection using machine learning. Jun 6, 2025 · In our study, we presented an innovative deep-learning approach for the automated detection of paddy diseases considering six distinct disease types, including Bacterial Blight, Blast, Brownspot, Leaf scaled, Sheath Blight, and Tungro along with healthy leaves. Here we had given a step-by-step guidance to execute a paddy crop disease detection project: State the goal: “To design machine learning method that will accurately find and classify disease in paddy crops by utilizing images”. By identifying diseased leaves at an early stage, the proposed automated system can aid farmers in preventing further damage to their crops. Paddy Dataset Agriculture occupies a third of Earth's surface and is vital for food production. XMACNet uses an EfficientNetV2S backbone enhanced by a self-attention module and a fusion branch The review paper elaborately focuses on a detailed examination of the various actions required for paddy crop disease diagnosis and classification using artificial intelligence-based machine learning and deep learning techniques. India ranked second in world, in rice production after China, with an annual production of about 124 million metric tons in the year 2021-2022. The dataset comprises images depicting leaves and stems afflicted by diseases, sourced from paddy fields. S. Artif. Therefore, inspired by this research paper, a solution is suggested to train machine learning for identify diseases in paddy plants.
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