A System for Analyzing Pig's Behavior with AI

Ni, Chi-Ting; Ng, Kiat-Siong; Chen, You-Rong; Chang, Shen-Chang; ChinBin, Hsu; Chen, Pei-Yin; Liao, Shao-Chieh

doi:10.1109/icce-taiwan49838.2020.9258228

Cited by 1 publication

(3 citation statements)

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“…The development of health monitoring systems for livestock [127][128][129] using wearable devices and sensors is a prominent area of research. These systems aim to provide realtime health status information, enabling early detection of diseases and ensuring timely intervention.…”

Section: Animal Husbandrymentioning

confidence: 99%

“…Non-destructive and non-intrusive monitoring technologies offer significant advantages in agricultural applications, particularly in remote sensing and animal welfare monitoring [129,146]. For instance, remote soil parameter monitoring using satellite imagery or IoT sensors eliminates the need for invasive soil sampling, reducing labor costs and minimizing environmental disruption.…”

Section: Monitoring and Control Componentsmentioning

confidence: 99%

“…Though relatively less common, audio data hold promise in PA applications such as livestock monitoring and pest detection. Studies by [129,208] utilize audio data for piglet crushing mitigation and analyzing pig behavior, respectively, showcasing the utility of sound-based sensors in animal husbandry and welfare.…”

Section: Kind Of Data Description Usage Examplesmentioning

confidence: 99%

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IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

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The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production and pose a threat to food security. In response to these challenges, the integration of IoT and AI technologies emerges as a promising solution, facilitating data-driven decision-making, optimizing resource allocation, and enhancing monitoring and control systems in agricultural operations to address these challenges and promote sustainable farming practices. This study examines the intersection of IoT and AI in precision agriculture (PA), aiming to provide a comprehensive understanding of their combined impact and mutually reinforcing relationship. Employing a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we explore the synergies and transformative potential of integrating IoT and AI in agricultural systems. The review also aims to identify present trends, challenges, and opportunities in utilizing IoT and AI in agricultural systems. Diverse forms of agricultural practices are scrutinized to discern the applications of IoT and AI systems. Through a critical analysis of existing literature, this study contributes to a deeper understanding of how the integration of IoT and AI technologies can revolutionize PA, resulting in improved efficiency, sustainability, and productivity in the agricultural sector.

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Section: Animal Husbandrymentioning

confidence: 99%

Section: Monitoring and Control Componentsmentioning

confidence: 99%