COGNIHERD: Livestock Health Monitoring Using Artificial Intelligence (AI) and Internet of Things (IoT)
Keywords:
CogniHerd, Livestock health monitoring, Artificial Intelligence, Internet of Things, Anomaly Detection, Predictive Modeling, ESP8266, Arduino Uno, Sustainable Agriculture, XAIAbstract
The amalgamation of Artificial Intelligence (AI) and Internet of Things (IoT) technologies is revolutionising livestock health monitoring, offering novel ways to improve animal welfare and productivity. This document introduces the CogniHerd system. “CogniHerd amalgamates two root words: “Cogni,” derived from the Latin “cognitio,” signifying knowledge or awareness, which embodies the AI-driven intelligence and data analysis within the system, and “Herd,” originating from the Old English “heord,” denoting a collective of domesticated animals. CogniHerd represents the astute management and surveillance of livestock with AI and IoT technologies to enhance health and welfare, employing an ESP8266, Arduino Uno, audio sensors, temperature sensors, and video sensors for real-time health monitoring of animals. The system gathers essential measurements, encompassing physiological factors and behavioural data. CogniHerd employs advanced AI methodologies, including anomaly detection and predictive modelling, to facilitate the early diagnosis of health issues, hence enhancing informed decision-making. A case study of a participating farm illustrates the system’s efficacy in identifying health anomalies and enhancing livestock management, attaining an accuracy of 0.9. The study also examines issues with data privacy, infrastructure demands, and interoperability. The findings underscore the CogniHerd system’s capacity to augment conventional cattle management approaches, facilitating sustainable agriculture via enhanced health monitoring and proactive interventions.
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References
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