The synthesis results show that wearable devices with temperature and motion sensors are effective for early disease detection, reproduction optimization, and behavioral analysis within the Precision Livestock Farming framework.
Abstract
The increasing global demand for livestock products requires management efficiency that slower, conventional methods cannot meet. This study aims to synthesize the implementation of Internet of Things (IoT) technology for monitoring livestock health and behavior within the Precision Livestock Farming (PLF) framework. The method used is a literature review of 50 relevant scientific articles from 2019 to 2025, focusing on sensor technology, system architecture, applications, benefits, and existing challenges. The synthesis results show that wearable devices with temperature and motion sensors are effective for early disease detection, reproduction optimization, and behavioral analysis. This study confirms the transformative potential of IoT in the livestock industry but also identifies key challenges such as battery life, connectivity in rural areas, and implementation costs. Further research is needed to develop more energy-efficient and affordable solutions to encourage broader adoption.
Agriculture has always been a field of innovation, evolving alongside technological advancements to boost productivity and address sector-specific challenges. Today, the Internet of Things (IoT), edge computing, and artificial intelligence (AI) are revolutionizing farming practices, particularly in livestock management...
Benlahsiniya Maroua, Ait Abdelouahid Rachida, Marzak Abdelaziz· International Journal of Adv...· 0 citations
This review synthesizes the current body of literature on AI-IoT integration in precision farming, covering the core enabling technologies — smart sensors, unmanned aerial vehicles, UAVs, geographic information systems, GIS, edge and cloud computing, and block chain-based traceability — and the layered architecture thr...
G. Swetha, T. Anuradha· IRASS Journal of Multidiscip...· 0 citations
The integration of Internet of Things (IoT) technologies into agriculture has emerged as a revolutionary approach for developing smart agricultural systems capable of improving productivity, resource efficiency, and sustainability. Traditional farming methods often face challenges such as climate variability, water sca...
Research Author· American Journal of Multidis...· 0 citations
The AI-IoT-based model for advanced monitoring of animal (sheep) health with the objectives of reducing latency of the existing systems, increasing productivity, enhancing disease management and ultimately improving livestock welfare is considered.
Rukayat Temitope Shobowale· International Journal of Eng...· 0 citations
Due to the intensification of livestock production and global climate challenges, the ability to timely recognize disruptions in animal health status and comfort is becoming a key prerequisite for sustainable farm management. This paper analyzes the transformative path from raw data collection to decision-making in the...
K. Nenadović, Milutin Đorđević, R. Teodorović et al.· Zbornik radova· 0 citations
Livestock rearing underpins the rural economy of Afghanistan, sustaining a large share of household income and food security across a mountainous, largely subsistence-based agrarian landscape. Yet herders in Afghanistan continue to rely on manual observation, itinerant veterinary visits and word-of-mouth market informa...
A. Mukhtar, Baryali Sazish, K. Rahmani· Jurnal Penelitian Pendidikan...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
