Artificial Intelligence and Sensor Innovations: Enhancing Livestock Welfare with a Human-Centric Approach

被引:29
作者
Suresh Neethirajan
机构
[1] Faculty of Computer Science,Department of Aquaculture and Animal Science
来源
Human-Centric Intelligent Systems | 2024年 / 4卷 / 1期
关键词
Human-Centric AI in livestock farming; Sensor technologies in animal welfare; Digital livestock farming; Objective animal welfare indicators; AI-driven animal health monitoring; Farmer-centric technology adoption;
D O I
10.1007/s44230-023-00050-2
中图分类号
学科分类号
摘要
In the wake of rapid advancements in artificial intelligence (AI) and sensor technologies, a new horizon of possibilities has emerged across diverse sectors. Livestock farming, a domain often sidelined in conventional AI discussions, stands at the cusp of this transformative wave. This paper delves into the profound potential of AI and sensor innovations in reshaping animal welfare in livestock farming, with a pronounced emphasis on a human-centric paradigm. Central to our discourse is the symbiotic interplay between cutting-edge technology and human expertise. While AI and sensor mechanisms offer real-time, comprehensive, and objective insights into animal welfare, it’s the farmer’s intrinsic knowledge of their livestock and environment that should steer these technological strides. We champion the notion of technology as an enhancer of farmers’ innate capabilities, not a substitute. Our manuscript sheds light on: Objective Animal Welfare Indicators: An exhaustive exploration of health, behavioral, and physiological metrics, underscoring AI’s prowess in delivering precise, timely, and objective evaluations. Farmer-Centric Approach: A focus on the pivotal role of farmers in the adept adoption and judicious utilization of AI and sensor technologies, coupled with discussions on crafting intuitive, pragmatic, and cost-effective solutions tailored to farmers' distinct needs. Ethical and Social Implications: A discerning scrutiny of the digital metamorphosis in farming, encompassing facets like animal privacy, data safeguarding, responsible AI deployment, and potential technological access disparities. Future Pathways: Advocacy for principled technology design, unambiguous responsible use guidelines, and fair technology access, all echoing the fundamental principles of human-centric computing and analytics. In essence, our paper furnishes pioneering insights at the crossroads of farming, animal welfare, technology, and ethics. It presents a rejuvenated perspective, bridging the chasm between technological advancements and their human beneficiaries, resonating seamlessly with the ethos of the Human-Centric Intelligent Systems journal. This comprehensive analysis thus marks a significant stride in the burgeoning domain of human-centric intelligent systems, especially within the digital livestock farming landscape, fostering a harmonious coexistence of technology, animals, and humans.
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收藏
页码:77 / 92
页数:15
相关论文
共 98 条
[1]  
Arndt SS(2022)A dynamic concept of animal welfare: the role of appetitive and adverse internal and external factors and the animal’s ability to adapt to them Front Animal Sci. 15 1211-547
[2]  
Goerlich VC(2021)Anticipating alternative trajectories for responsible agriculture 4.0 innovation in livestock systems Animal 10 553-843
[3]  
van der Staay FJ(2020)Behavioral diversity as a potential indicator of positive animal welfare Animals 21 525-425
[4]  
Eastwood CR(2021)Measuring farm animal emotions—sensor-based approaches Sensors 29 825-120
[5]  
Edwards JP(2020)The role of sensors, big data and machine learning in modern animal farming Sens Bio-Sens Res 32 413-177
[6]  
Turner JA(2021)Digital livestock farming Sens Bio-Sens Res 28 111-894
[7]  
Miller LJ(2022)Introducing ‘microAKIS’: a farmer-centric approach to understanding the contribution of advice to agricultural innovation J Agric Educ Ext 63 294-46
[8]  
Vicino GA(2023)Indicators of functional integrity in production animals Animal Prod Sci 36 151-45
[9]  
Sheftel J(2017)In pursuit of peak animal welfare; the need to prioritize the meaningful over the measurable Zoo Biol 33 436-505
[10]  
Lauderdale LK(2014)Applying ethological and health indicators to practical animal welfare assessment OIE Sci Techn Rev 10 1512-34584