可信赖性
牲畜
业务
计算机科学
计算机安全
地理
林业
作者
Taeyong Yun,Tai-Won Um,Jinsul Kim
出处
期刊:Journal of contents computing (Online)
[Digital Contents Society]
日期:2023-12-31
卷期号:5 (2): 647-661
被引量:1
标识
DOI:10.9728/jcc.2023.12.5.2.647
摘要
Due to the difficulty in finding labor and rising labor costs in the livestock industry, there is a growing demand for smart livestock farming, which combines advanced IT technology with traditional livestock management. Artificial Intelligence of Things (AIoT), which incorporates Artificial Intelligence (AI) into Internet of Things (IoT) devices, is being touted as a technology that can detect livestock diseases and changes in the barn environment, and respond quickly and automatically to problem situations without human intervention to increase productivity. However, trust issues due to malfunctions and failures are recognized as a barrier to the use of these AIoT devices in smart livestock farms. This paper proposes a highly trustworthy AIoT technology for smart livestock farms. Specifically, image recognition-based AIoT devices for smart livestock farms and their trust management techniques are described.
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