基于深度学习技术的肿块病严重程度检测

Vipul Narayan, Shashank Awasthi, Naushen Fatima, Mohammad Faiz, D. Bordoloi, R. Sandhu, Swapnita Srivastava
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引用次数: 0

摘要

在2022年7月至9月的三个月里,印度的肿块性皮肤病夺走了97000多头牛的生命。它由蜱虫和其他吸血昆虫传播,包括某些种类的蚊子、蜱虫和苍蝇。它还可引起发烧、皮肤结节和死亡,特别是在以前从未接触过该病毒的动物中。据粮农组织和世界卫生组织称,这种疾病的传播可能会造成“实质性”和“严重”的经济损失。对于乳制品行业来说,目前印度的疫情已被证明是一个问题。牛的肿块性皮肤病(LSD)的严重程度将使用建议的深度学习(DL)方法进行识别。数据捕获、预处理、增强、分割、特征提取和分类是构成该方法的六个过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Severity of Lumpy Disease detection based on Deep Learning Technique
The lumpy skin disease epidemic in India claimed the lives of over 97,000 cattle in the three months from July to September 2022. It is spread by ticks and other blood-feeding insects, including some species of mosquito, ticks, and flies. It can also cause fever, skin nodules, and mortality, especially in animals who have never been exposed to the virus before. The spread of the illness might cause "substantial" and "severe" economic damage, according to FAO and WOAH. For the dairy business, the current epidemic in India has proven to be problematic. The severity of Lumpy Skin Disease (LSD) in cattle will be identified using the suggested Deep Learning (DL) methodology. Data capture, pre-processing, augmentation, segmentation, feature extraction, and classification are the six processes that comprise the proposed methodology.
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