Mistakenly predicted class.

Lumpy skin disease (LSD) is a critical problem for cattle populations, affecting both individual cows and the entire herd. Given cattle’s critical role in meeting human needs, effective management of this disease is essential to prevent significant losses. The study proposes a deep learning approach using the MobileNetV2 model and the RMSprop optimizer to address this challenge. Tests on a dataset of healthy and lumpy cattle images show an impressive accuracy of 95%, outperforming existing benchmarks by 4–10%. These results underline the potential of the proposed methodology to revolutionize the diagnosis and management of skin diseases in cattle farming. Researchers and graduate students are the audience for our paper.

结节性皮肤病（Lumpy skin disease, LSD）是牛群面临的重大疫病问题，既会侵害单头奶牛，也会波及整个牛群。鉴于牛类在满足人类生产生活需求中发挥着关键作用，有效防控该疾病对避免重大经济损失而言至关重要。本研究提出一种深度学习方法，采用MobileNetV2模型与RMSprop优化器来应对这一诊疗挑战。在针对健康牛与患结节性皮肤病牛的图像数据集开展的测试中，该方法取得了高达95%的优异准确率，较现有基准模型高出4%至10%。上述结果凸显了所提方法在革新牛养殖业皮肤病诊断与管理模式方面的巨大潜力。本论文的目标受众为科研人员与研究生。