Artificial Intelligence (AI) Infused Cow Necklace - For Diagnosis Of Bovine Respiratory Diseases

Chandrasekar Vuppalapati, Rajasekar Vuppalapati, Sharat Kedari, Anitha Ilapakurti, Archana Ramalingam, J. Vuppalapati, S. Kedari
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引用次数: 1

Abstract

Bovine respiratory disease (BRD) is a significant cost to dairy industries. In the United States, an estimated 640 million dollars is lost annually due to BRD. Respiratory diseases are responsible for 21.3% of mortality in calves and 50.4% of deaths in weaned heifers. Additionally, there are many negative long-term consequences for survivor calves including poor growth, reproductive performance, milk production, and longevity and can become sources of infection for other calves, and can cause outbreaks after weaning in-group pens. BRD poses huge challenges and economic losses to the dairy industry. This research paper addresses the challenge by developing and deploying Convolutional neural networks (CNN) that proactively detect BRD in cow's cough and alerts dairy farmer. The paper presents prototyping solution of Dairy IoT Cow $NecKlace^{TM}$ as well as its application and experimental results.
人工智能(AI)注入奶牛项链-用于诊断牛呼吸道疾病
牛呼吸道疾病(BRD)是乳品行业的重大成本。在美国,估计每年因复兴开发银行损失6.4亿美元。21.3%的小牛和50.4%的断奶小母牛死于呼吸道疾病。此外,对幸存的小牛有许多负面的长期后果,包括生长不良、繁殖性能、产奶量和寿命,并可能成为其他小牛的感染源,并可能在断奶后引起群圈内疫情。BRD给乳制品行业带来了巨大的挑战和经济损失。本研究论文通过开发和部署卷积神经网络(CNN)来解决这一挑战,该网络可以主动检测奶牛咳嗽中的BRD并提醒奶农。本文介绍了奶牛物联网奶牛项链(Cow $NecKlace^{TM}$)的原型方案及其应用和实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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