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Journal articles on the topic 'Precision Livestock Farming (PLF)'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Berckmans, Daniel. "Precision livestock farming (PLF)." Computers and Electronics in Agriculture 62, no. 1 (2008): 1. http://dx.doi.org/10.1016/j.compag.2007.09.002.

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István Komlósi. "The precision livestock farming." Acta Agraria Debreceniensis, no. 49 (November 13, 2012): 201–2. http://dx.doi.org/10.34101/actaagrar/49/2525.

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The application of information technology is the response of the livestock farming to the demand of customer, legal and economical expectations. This technology is the socalled precision livestock farming (PLF). The elements of the PLF are: continuous monitoring of inputs, animal behaviour by sensors, an algorithm which converts these signals into a figure, this figure is compared to an optimum then adjustment of the input is followed, if it is necesary.

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Dr., Febin Stephan. "Benefits of Precision Livestock Farming." Science World a monthly e magazine 3, no. 1 (2023): 52–53. https://doi.org/10.5281/zenodo.7549599.

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Precision livestock farming (PLF) is a method of rearing livestock that uses contemporary technologies to collect data on each animal on a farm and use that data to optimize management techniques by lowering input costs or enhancing overall farm -productivity. While being aware of and responsible for its environmental effects, PLF enables farmers to improve production, expand their farms, enhance productivity and satisfy the rising demand for animal products. The PLF focuses on the use of information and communication technology (ICT) to boost livestock production efficiency while also pr

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Naresh, M1* Hariharan R² Banoth Sai Nehru³ Gongale Tushar Surendra⁴ Shashikiran S. Doddannavar⁵. "An Overview of Precision Livestock Farming: Innovations in Livestock Farming." Veterinary Today 3, no. 2 (2025): 536–38. https://doi.org/10.5281/zenodo.15025292.

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Precision Livestock Farming (PLF) is an innovative approach that enables real-time monitoring of livestock by equipping animals with sensors to collect and transmit data on their health and behavior. This data helps farmers make informed decisions regarding animal welfare and productivity. The strategic goal of PLF is to promote sustainability in livestock farming, improving efficiency, reducing environmental impact and ensuring both animal and human health. PLF provides a solution for the growing challenges of a decreasing number of farmers and increasing herd sizes by maintaining health moni

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Jiang, Bing, Wenjie Tang, Lihang Cui, and Xiaoshang Deng. "Precision Livestock Farming Research: A Global Scientometric Review." Animals 13, no. 13 (2023): 2096. http://dx.doi.org/10.3390/ani13132096.

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Precision livestock farming (PLF) utilises information technology to continuously monitor and manage livestock in real-time, which can improve individual animal health, welfare, productivity and the environmental impact of animal husbandry, contributing to the economic, social and environmental sustainability of livestock farming. PLF has emerged as a pivotal area of multidisciplinary interest. In order to clarify the knowledge evolution and hotspot replacement of PLF research, based on the relevant data from the Web of Science database from 1973 to 2023, this study analyzed the main character

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Elliott, Kevin C., and Ian Werkheiser. "A Framework for Transparency in Precision Livestock Farming." Animals 13, no. 21 (2023): 3358. http://dx.doi.org/10.3390/ani13213358.

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As precision livestock farming (PLF) technologies emerge, it is important to consider their social and ethical dimensions. Reviews of PLF have highlighted the importance of considering ethical issues related to privacy, security, and welfare. However, little attention has been paid to ethical issues related to transparency regarding these technologies. This paper proposes a framework for developing responsible transparency in the context of PLF. It examines the kinds of information that could be ethically important to disclose about these technologies, the different audiences that might care a

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Liu, Gang, Hao Guo, Alexey Ruchay, and Andrea Pezzuolo. "Recent Advancements in Precision Livestock Farming." Agriculture 13, no. 9 (2023): 1652. http://dx.doi.org/10.3390/agriculture13091652.

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The increasing global demand for sustainably sourced animal-derived food has prompted the development and application of smart technologies to address environmental, economic, and societal concerns, resulting in precision livestock farming (PLF) applications [...]

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Zhao, Yang, Brett C. Ramirez, Janice M. Siegford, et al. "Field Implementation of Precision Livestock Farming: Selected Proceedings from the 2nd U.S. Precision Livestock Farming Conference." Animals 14, no. 7 (2024): 1128. http://dx.doi.org/10.3390/ani14071128.

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Precision Livestock Farming (PLF) involves the real-time monitoring of images, sounds, and other biological, physiological, and environmental parameters to assess and improve animal health and welfare within intensive and extensive production systems [...]

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Khan, Danyal, Haider Zaman, Aimen Sultan, et al. "Exploring the Potential of Precision Livestock Farming Technologies for Enhancing Animal Welfare and Public Health." Scholars Journal of Agriculture and Veterinary Sciences 12, no. 06 (2025): 205–12. https://doi.org/10.36347/sjavs.2025.v12i06.001.

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This review explores the potential of Precision Livestock Farming (PLF) technology to enhance animal welfare and improve public health outcomes in contemporary livestock management. As global food demands increase and the necessity for sustainable agricultural methods escalates, Precision Livestock Farming (PLF) technologies—encompassing sensors, automation systems, and big data analytics—present substantial potential in optimizing animal welfare, mitigating disease outbreaks, and improving production. The main aim of this review is to consolidate the existing literature, pinpoint knowledge de

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Tzanidakis, Christos, Ouranios Tzamaloukas, Panagiotis Simitzis, and Panagiotis Panagakis. "Precision Livestock Farming Applications (PLF) for Grazing Animals." Agriculture 13, no. 2 (2023): 288. http://dx.doi.org/10.3390/agriculture13020288.

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Over the past four decades the dietary needs of the global population have been elevated, with increased consumption of animal products predominately due to the advancing economies of South America and Asia. As a result, livestock production systems have expanded in size, with considerable changes to the animals’ management. As grazing animals are commonly grown in herds, economic and labour constraints limit the ability of the producer to individually assess every animal. Precision Livestock Farming refers to the real-time continuous monitoring and control systems using sensors and computer a

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Trabachini, Aldie, Michele da Rocha Moreira, Érik dos Santos Harada, Magno do Nascimento Amorim, and Késia Oliveira da Silva-Miranda. "Precision Livestock Farming Applied to Swine Farms—A Systematic Literature Review." Animals 15, no. 14 (2025): 2138. https://doi.org/10.3390/ani15142138.

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This systematic review, which analyzed 75 articles published between 2019 and 2024, investigated the application of Precision Livestock Farming (PLF) technologies in pig farming. Using a rigorous methodology, including SWOT analysis and categorization into four thematic groups, the research identified that 37% of the studies focused on animal identification and monitoring, while 28% addressed animal welfare. The SWOT analysis revealed that PLF offers significant opportunities to improve animal welfare, optimize production processes, and reduce environmental impact. The results of this research

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Papakonstantinou, Georgios I., Nikolaos Voulgarakis, Georgia Terzidou, Lampros Fotos, Elisavet Giamouri, and Vasileios G. Papatsiros. "Precision Livestock Farming Technology: Applications and Challenges of Animal Welfare and Climate Change." Agriculture 14, no. 4 (2024): 620. http://dx.doi.org/10.3390/agriculture14040620.

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This study aimed to review recent developments in the agri-food industry, focusing on the integration of innovative digital systems into the livestock industry. Over the last 50 years, the production of animal-based foods has increased significantly due to the rising demand for meat. As a result, farms have increased their livestock numbers to meet consumer demand, which has exacerbated challenges related to environmental sustainability, human health, and animal welfare. In response to these challenges, precision livestock farming (PLF) technologies have emerged as a promising solution for sus

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Tedeschi, Luis O., and Egleu D. M. Mendes. "13 Precision Livestock Farming Tools for Climate-Smart Feedyard Operations." Journal of Animal Science 101, Supplement_3 (2023): 326–27. http://dx.doi.org/10.1093/jas/skad281.390.

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Abstract Precision Livestock Farming (PLF) is a technology-driven approach comprising sensors, cameras, global positioning system tracking, and data analytics to collect real-time data on animal behavior, health, welfare, and performance that enables feedyard operations to make informed decisions and take proactive measures to ensure optimized management and the well-being of their livestock and production efficiency. PLF systems leverage advanced analytical tools and techniques, such as artificial intelligence (AI), including machine learning and deep learning, by integrating data provided by

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Statham, J. "113. Precision livestock farming (PLF) approaches to sustainable productivity." Animal - science proceedings 15, no. 1 (2024): 126. http://dx.doi.org/10.1016/j.anscip.2024.02.114.

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Kleen, Joachim Lübbo, and Raphaël Guatteo. "Precision Livestock Farming: What Does It Contain and What Are the Perspectives?" Animals 13, no. 5 (2023): 779. http://dx.doi.org/10.3390/ani13050779.

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Precision Livestock Farming (PLF) describes the combined use of sensor technology, the related algorithms, interfaces, and applications in animal husbandry. PLF technology is used in all animal production systems and most extensively described in dairy farming. PLF is developing rapidly and is moving beyond health alarms towards an integrated decision-making system. It includes animal sensor and production data but also external data. Various applications have been proposed or are available commercially, only a part of which has been evaluated scientifically; the actual impact on animal health

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G., Bhuvaneswari R. Raghy P. Ponnuvel. "Beyond productivity: why animal welfare in farming matters more than ever." Vet Farm Frontier 02, no. 04 (2025): 75–80. https://doi.org/10.5281/zenodo.15369181.

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This article examines the increasing importance of animal welfare in livestock farming by integrating perspectives from ethics, economics, and animal health. Driven by evolving consumer preferences, global policy frameworks, and technological advancements, the industry is gradually adopting more humane practices such as enriched housing, improved transportation, and real-time monitoring through Precision Livestock Farming (PLF). While these developments reflect a shift toward ethically produced food, challenges remain in enforcement and economic sustainability. The article argues that balancin

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Akinyemi, Babatope E., Faical Akaichi, Janice M. Siegford, and Simon P. Turner. "US Swine Industry Stakeholder Perceptions of Precision Livestock Farming Technology: A Q-Methodology Study." Animals 13, no. 18 (2023): 2930. http://dx.doi.org/10.3390/ani13182930.

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This study used the Q-methodology approach to analyze perceptions of precision livestock farming (PLF) technology held by stakeholders directly or indirectly involved in the US swine industry. To see if stakeholders’ perceptions of PLF changed over time as PLF is a rapidly evolving field, we deliberately followed up with stakeholders we had interviewed 6 months earlier. We identified three distinct points of view: PLF improves farm management, animal welfare, and laborer work conditions; PLF does not solve swine industry problems; PLF has limitations and could lead to data ownership conflict.

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Ewald, Dominik. "„Mehrwert fürs Tier generieren“." agrarzeitung 79, no. 30 (2024): 8. http://dx.doi.org/10.51202/1869-9707-2024-30-008.

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Krampe, Caspar, Jordi Serratosa, Jarkko K. Niemi, and Paul T. M. Ingenbleek. "Consumer Perceptions of Precision Livestock Farming—A Qualitative Study in Three European Countries." Animals 11, no. 5 (2021): 1221. http://dx.doi.org/10.3390/ani11051221.

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Scholars in the fields of animal science and technology have investigated how precision livestock farming (PLF) can contribute to the quality and efficiency of animal husbandry and to the health and welfare of farm animals. Although the results of such studies provide promising avenues for the development of PLF technologies and their potential for the application in animal husbandry, the perspectives of consumers with regard to PLF technologies have yet to be the subject of much investigation. To address this research gap, the current study explores consumer perceptions of PLF technologies wi

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SĂNDULEANU, Cătălina, Andra-Sabina NECULAI-VĂLEANU, Aida ALBU, Roxana Nicoleta RAȚU, Marius Giorgi USTUROI, and Vasile MACIUC. "ENHANCING DAIRY FARM MANAGEMENT THROUGH PRECISION LIVESTOCK FARMING AND ARTIFICIAL INTELLIGENCE." Annals of the Academy of Romanian Scientists Series on Agriculture, Silviculture and Veterinary Medicine 13, no. 2 (2024): 31–44. https://doi.org/10.56082/annalsarsciagr.2024.2.31.

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The dairy industry faces growing challenges in optimizing productivity, animal welfare, and sustainability. Precision Livestock Farming (PLF) and Artificial Intelligence (AI) are emerging technologies that offer innovative solutions to enhance management practices on dairy farms. This paper explores the integration of PLF and AI in 5 dairy cattle farms from N-E of Romania, covering key areas such as health monitoring, reproductive management, nutrition optimization, and herd performance tracking.

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Norton, Tomás, and María Cambra-López. "Challenges and opportunities for precision livestock farming applications in the rabbit production sector." World Rabbit Science 33, no. 2 (2025): 127–38. https://doi.org/10.4995/wrs.2025.22701.

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Precision livestock farming (PLF) is an established field in many livestock sectors. However, when it comes to rabbit production, it is still emerging. Nevertheless, we believe that the rapid advancements in sensor technologies, data analytics and automation we are witnessing can bring significant and transformative opportunities to the rabbit farming industry. Within this context, this paper explores the potential use of PLF for the rabbit sector. We start by briefly reviewing the current state of the art of PLF applications in other livestock sectors, such as dairy and pig farming, focusing

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22

Morrone, Sarah, Corrado Dimauro, Filippo Gambella, and Maria Grazia Cappai. "Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions." Sensors 22, no. 12 (2022): 4319. http://dx.doi.org/10.3390/s22124319.

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Precision livestock farming (PLF) has spread to various countries worldwide since its inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry 4.0 and the Internet of Things (IoT) have enabled a continued advancement and development of PLF. This modern technological approach to animal farming and production encompasses ethical, economic and logistical aspects. The aim of this review is to provide an overview of PLF and Industry 4.0, to identify current applications of this rather novel approach in different farming systems for food producing animals, and

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23

Tao, Jian, Egleu D. M. Mendes, Yalong Pi, et al. "6 Hands-On Iii: Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges." Journal of Animal Science 101, Supplement_3 (2023): 75–76. http://dx.doi.org/10.1093/jas/skad281.092.

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Abstract Precision livestock farming (PLF) is an emerging field that uses technology to optimize livestock production and management. It involves using sensors, cameras, and other data collection devices to gather information on animal behavior, health, and welfare. A digital twin is a virtual replica of a physical system that can be used for simulation, testing, and optimization. This tutorial will provide an overview of the procedure for creating a PLF digital twin with cameras and sensors. We will discuss the benefits of PLF, the hardware and software components needed, and the steps involv

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Rowe, Dawkins, and Gebhardt-Henrich. "A Systematic Review of Precision Livestock Farming in the Poultry Sector: Is Technology Focussed on Improving Bird Welfare?" Animals 9, no. 9 (2019): 614. http://dx.doi.org/10.3390/ani9090614.

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Precision livestock farming (PLF) systems have the potential to improve animal welfare through providing a continuous picture of welfare states in real time and enabling fast interventions that benefit the current flock. However, it remains unclear whether the goal of PLF development has been to improve welfare or increase production efficiency. The aims of this systematic literature review are to provide an overview of the current state of PLF in poultry farming and investigate whether the focus of PLF research has been to improve bird welfare. The study characteristics extracted from 264 pee

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Abeni, Fabio, Francesca Petrera, and Andrea Galli. "A Survey of Italian Dairy Farmers’ Propensity for Precision Livestock Farming Tools." Animals 9, no. 5 (2019): 202. http://dx.doi.org/10.3390/ani9050202.

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A targeted survey was designed with the aim of describing the diffusion of precision livestock farming (PLF) tools in one of the most intensive dairy farming provinces in Italy. Technicians at the Provincial Breeder Association of Cremona interviewed 490 dairy farmers and obtained data regarding the role and age of the respondents; the land owned by the farmers; their herd sizes (HS, lactating plus dry cows; small HS < 101, medium HS 101–200, large HS > 200 cows/herd); their average 305 day milk yield (low MY < 9501, medium MY 9501–10,500, high MY > 10,500 kg/head); the cow to empl

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Remus, Aline, Candido Pomar, and Daniel Warner. "78 Opportunities and Limitations of Modeling and Data Analytics for Precision Livestock Farming." Journal of Animal Science 99, Supplement_3 (2021): 44–45. http://dx.doi.org/10.1093/jas/skab235.078.

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Abstract Precision livestock farming (PLF) involves the use of sensors that captures large amounts of real-time information at the building, herd or animal level, which are later processed to control the system. Data processing can be accomplished using mathematical models (MM), artificial intelligence algorithms (AI) or a combination of these and other methods. The choice of the method must be made according to the volume of data to be processed, its nature and the relationship between the available information and the desired control of the system. Several components of PLF such as precision

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Greig, Jamie, Kevin Cavasos, Christopher Boyer, and Susan Schexnayder. "Diffusion of innovation, internet access, and adoption barriers for precision livestock farming among beef producers." Advancements in Agricultural Development 4, no. 3 (2023): 103–16. http://dx.doi.org/10.37433/aad.v4i3.329.

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This study examined the relationship between internet access type and perceptions of Precision Livestock Farming (PLF) Technologies among beef producers in a specific state. Using data collected from an internet-based survey of beef producers (n = 137), this study conducted an exploratory factor analysis to construct variables corresponding to Diffusion of Innovation (DOI) attributes that influence innovation adoption. Findings indicate producers with cable, cellular, and broadband internet access had more favorable perceptions of PLF technologies in terms of barriers to adoption, while those

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Garrido, Luís F. C., Sabrina T. M. Sato, Leandro B. Costa, and Ruan R. Daros. "Can We Reliably Detect Respiratory Diseases through Precision Farming? A Systematic Review." Animals 13, no. 7 (2023): 1273. http://dx.doi.org/10.3390/ani13071273.

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Respiratory diseases commonly affect livestock species, negatively impacting animal’s productivity and welfare. The use of precision livestock farming (PLF) applied in respiratory disease detection has been developed for several species. The aim of this systematic review was to evaluate if PLF technologies can reliably monitor clinical signs or detect cases of respiratory diseases. A technology was considered reliable if high performance was achieved (sensitivity > 90% and specificity or precision > 90%) under field conditions and using a reliable reference test. Risk of bias was assesse

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Losacco, Caterina, Gianluca Pugliese, Lucrezia Forte, Vincenzo Tufarelli, Aristide Maggiolino, and Pasquale De Palo. "Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming." Agriculture 15, no. 13 (2025): 1383. https://doi.org/10.3390/agriculture15131383.

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The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. These technological advancements constitute critical enablers for the development of customized, data-driven farming systems, offering potential solutions to the challenges of agricultural intensification while addressing societal concerns associated with the emerging paradigm of “farming by numbers”. The Precision Livestock Farming (PLF) systems enable the continuous, real-time, and individual sensing of

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Neculai-Valeanu, Andra-Sabina, Adina-Mirela Ariton, Ciprian Radu, Ioana Porosnicu, Catalina Sanduleanu, and Gabriela Amariții. "From Herd Health to Public Health: Digital Tools for Combating Antibiotic Resistance in Dairy Farms." Antibiotics 13, no. 7 (2024): 634. http://dx.doi.org/10.3390/antibiotics13070634.

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The emergence of antimicrobial resistance (AMR) is a significant threat to global food security, human health, and the future of livestock production. Higher rates of antimicrobial use in dairy farming and the sheer lack of new antimicrobials available for use focused attention on the question of how the dairy production sector contributed to the development of AMR and paved the path toward taking action to curtail it on the targeted type of farms. This paper aims to provide an introduction to a phenomenon that has gained considerable attention in the recent past due to its ever-increasing imp

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Olejnik, Katarzyna, Ewa Popiela, and Sebastian Opaliński. "Emerging Precision Management Methods in Poultry Sector." Agriculture 12, no. 5 (2022): 718. http://dx.doi.org/10.3390/agriculture12050718.

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New approach to improve welfare in the poultry sector is targeted at the precise management of animals. In poultry production, we observe that birds’ health and quality of poultry products depend significantly on good welfare conditions, affecting economic efficiency. Using technology solutions in different systems of animal production is an innovation that can help farmers more effectively control the environmental conditions and health of birds. In addition, rising public concern about poultry breeding and welfare leads to developing solutions to increase the efficiency of control and monito

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Leonard, Suzanne M. "PSII-10 Development of an interdisciplinary undergraduate and graduate course in precision livestock farming systems." Journal of Animal Science 102, Supplement_2 (2024): 353–54. http://dx.doi.org/10.1093/jas/skae102.404.

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Abstract The modern livestock industry is increasingly adopting data, technologies, and automation into daily husbandry and management routines and decisions. These advances in precision livestock farming (PLF) enable improved financial margins, sustainability, efficiency, and animal productivity and welfare. However, there is currently a gap between the engineers and data scientists designing the technologies and the animal scientists and caretakers using them. At North Carolina State University a novel course on PLF Systems for undergraduate and graduate students was developed in the Departm

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Monteiro, António, Sérgio Santos, and Pedro Gonçalves. "Precision Agriculture for Crop and Livestock Farming—Brief Review." Animals 11, no. 8 (2021): 2345. http://dx.doi.org/10.3390/ani11082345.

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In the last few decades, agriculture has played an important role in the worldwide economy. The need to produce more food for a rapidly growing population is creating pressure on crop and animal production and a negative impact to the environment. On the other hand, smart farming technologies are becoming increasingly common in modern agriculture to assist in optimizing agricultural and livestock production and minimizing the wastes and costs. Precision agriculture (PA) is a technology-enabled, data-driven approach to farming management that observes, measures, and analyzes the needs of indivi

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Neglia, Gianluca, Roberta Matera, Alessio Cotticelli, Angela Salzano, Roberta Cimmino, and Giuseppe Campanile. "Precision livestock farming in buffalo species: a sustainable approach for the future." Revista Científica de la Facultad de Ciencias Veterinarias 33, Suplemento (2023): 124–30. https://doi.org/10.52973/rcfcv-wbc019.

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The growth of the world population that will occur in the next 30 years will be responsible for an increase in animal-derived food and proteins of animal origin. The livestock sector will be obliged to face new challenges, such as the reduction of environmental impact, the improvement of animal-derived food quality and safety, the reduction of antibiotics, and the increase in efficiency. One of the strategies that could be adopted is Precision Livestock Farming (PLF), recognized as the most sustainable tool to improve farm sustainability. It can be defined as “the continuous, automated, and re

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Paolino, Rosanna, Adriana Di Trana, Adele Coppola, et al. "May the Extensive Farming System of Small Ruminants Be Smart?" Agriculture 15, no. 9 (2025): 929. https://doi.org/10.3390/agriculture15090929.

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Precision Livestock Farming (PLF) applies a complex of sensor technology, algorithms, and multiple tools for individual, real-time livestock monitoring. In intensive livestock systems, PLF is now quite widespread, allowing for the optimisation of management, thanks to the early recognition of diseases and the possibility of monitoring animals’ feeding and reproductive behaviour, with an overall improvement of their welfare. Similarly, PLF systems represent an opportunity to improve the profitability and sustainability of extensive farming systems, including those of small ruminants, rationalis

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Patel, Hrishitva, and Adil Sana. "Role of Computer Science (Artificial Intelligence) In Poultry Management." Devotion Journal of Community Service 3, no. 12 (2022): 2068–88. http://dx.doi.org/10.36418/dev.v3i12.250.

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The precise control of animals is the focus of a new strategy to enhance animal welfare in the poultry industry. We notice that good welfare circumstances significantly impact the health of the birds and the quality of the poultry products, which affects economic effectiveness in the production of poultry. An innovation that can aid farmers in more successfully controlling the environment and birds' health is using technology solutions in various animal production systems. Additionally, as public concern over chicken breeding and welfare increases, resolutions are being developed to improve co

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Marino, Rosanna, Francesca Petrera, and Fabio Abeni. "Scientific Productions on Precision Livestock Farming: An Overview of the Evolution and Current State of Research Based on a Bibliometric Analysis." Animals 13, no. 14 (2023): 2280. http://dx.doi.org/10.3390/ani13142280.

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The interest in precision livestock farming (PLF)—a concept discussed for the first time in the early 2000s—has advanced considerably in recent years due to its important role in the development of sustainable livestock production systems. However, a comprehensive bibliometric analysis of the PLF literature is lacking. To address this gap, this study analyzed documents published from 2005 to 2021, aiming to understand the historical influences on technology adoption in livestock farming, identify future global trends, and examine shifts in scientific research on this topic. By using specific s

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Himu, Homaira Afroz, and Asif Raihan. "An Overview of Precision Livestock Farming (PLF) Technologies for Digitalizing Animal Husbandry toward Sustainability." Global Sustainability Research 3, no. 2 (2024): 1–14. http://dx.doi.org/10.56556/gssr.v3i2.954.

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As the global population continues to expand, it is imperative for livestock farming to undergo necessary adaptations in order to effectively address the escalating food demands and enhance productivity. Concurrently, it is imperative to acknowledge and tackle concerns pertaining to animal welfare, environmental sustainability, and public health. The primary aim of the article is to provide a comprehensive examination of the latest advancements in the utilization of biometric devices, big data, and blockchain technology for the purpose of digitizing animal husbandry within the context of Preci

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Himu, Homaira Afroz, and Asif Raihan. "An Overview of Precision Livestock Farming (PLF) Technologies for Digitalizing Animal Husbandry toward Sustainability." Global Sustainability Research 3, no. 3 (2024): 1–14. http://dx.doi.org/10.56556/gssr.v3i3.954.

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As the global population continues to expand, it is imperative for livestock farming to undergo necessary adaptations in order to effectively address the escalating food demands and enhance productivity. Concurrently, it is imperative to acknowledge and tackle concerns pertaining to animal welfare, environmental sustainability, and public health. The primary aim of the article is to provide a comprehensive examination of the latest advancements in the utilization of biometric devices, big data, and blockchain technology for the purpose of digitizing animal husbandry within the context of Preci

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Subach, T. I., and Zh N. Shmeleva. "Introduction of digital innovations in livestock farming." IOP Conference Series: Earth and Environmental Science 1112, no. 1 (2022): 012079. http://dx.doi.org/10.1088/1755-1315/1112/1/012079.

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Abstract Nowadays one can observe the penetration of digitalization into almost all spheres of life: political, social, economic, educational. Agriculture is not an exception. Russian government considers digital transformation in general and agriculture in particular to be one of the indispensable national goals. The ultimate goal of introducing digital changes is guaranteeing the RF entry into the top five largest economies in the world. Agriculture in RF has various branches where animal husbandry plays and important role in ensuring food security. Consequently, the issue of introducing dig

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Morgan-Davies, Claire, Germain Tesniere, Jean-Marc Gautier, et al. "Review: Exploring the use of precision livestock farming for small ruminant welfare management." animal 18, supplement 2 (2024): 101233. https://doi.org/10.1016/j.animal.2024.101233.

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Small ruminant (sheep and goat) production of meat and milk is undertaken in diverse topographical and climatic environments and the systems range from extensive to intensive. This could lead to different types of welfare compromise, which need to be managed. Implementing Precision Livestock Farming (<strong>PLF</strong>) and other new or innovative technologies could help to manage or monitor animal welfare. This paper explores such opportunities, seeking to identify promising aspects of PLF that may allow improved management of welfare for small ruminants using literature search (2 reviews),

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SZABÓ, Csaba, and Veronika HALAS. "Livestock production as a technological and social challenge – Emphasis on sustainability and precision nutrition." Acta agriculturae Slovenica. Suplement, no. 3 (September 18, 2012): 9–15. http://dx.doi.org/10.14720/aas-s.2012.3.19066.

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Feeding the world’s growing population is one of the biggest challenges in the 21st century. As our natural resources are depleting and our nature changing due to the human activity – sustainability is an emerging issue. In short sustainable agriculture means a system which preserves the basis of life of future generations. In the case of animal production this includes the following key areas: providing sustainable feed base, reducing environmental impact, feed and food safety and sustainable intensification. Animal production systems can be intensified throughout the application of precision

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Brassó, Lili D., István Komlósi, and Zsófia Várszegi. "Modern Technologies for Improving Broiler Production and Welfare: A Review." Animals 15, no. 4 (2025): 493. https://doi.org/10.3390/ani15040493.

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The increasing level of poultry meat production, the lack of human workforce, and the rapid development of information technology have led to the application of precision livestock farming (PLF) systems in the poultry sector, as in other livestock sectors. This review aimed to gather information on the function, applicability, advantages, and limitations of a wide range of precision technologies applicable to broiler production to help farms and researchers in choosing the right methods in practice or creating the basis for further development. Studies as the basis of this review were extracte

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di Virgilio, Agustina, Juan M. Morales, Sergio A. Lambertucci, Emily L. C. Shepard, and Rory P. Wilson. "Multi-dimensional Precision Livestock Farming: a potential toolbox for sustainable rangeland management." PeerJ 6 (May 30, 2018): e4867. http://dx.doi.org/10.7717/peerj.4867.

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Background Precision Livestock Farming (PLF) is a promising approach to minimize the conflicts between socio-economic activities and landscape conservation. However, its application on extensive systems of livestock production can be challenging. The main difficulties arise because animals graze on large natural pastures where they are exposed to competition with wild herbivores for heterogeneous and scarce resources, predation risk, adverse weather, and complex topography. Considering that the 91% of the world’s surface devoted to livestock production is composed of extensive systems (i.e., r

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Ramirez, Brett C., Hongwei Xin, Patrick G. Halbur, et al. "At the Intersection of Industry, Academia, and Government: How Do We Facilitate Productive Precision Livestock Farming in Practice?" Animals 9, no. 9 (2019): 635. http://dx.doi.org/10.3390/ani9090635.

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This commentary is a comprehensive synthesis of ideas generated from a workshop, hosted by Iowa State University, encompassing precision livestock farming (PLF) research and applications for industry–academia. The goal of this workshop was to demonstrate existing institution research and strategically propel further PLF development and industry adoption. Six key thematic areas were identified from participant discussion: sensors and algorithms, implementation, economic feasibility, data, rural and societal impacts, and education and training. These themes were used to focus discussion on ident

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Tangorra, Francesco Maria, Eleonora Buoio, Aldo Calcante, Alessandro Bassi, and Annamaria Costa. "Internet of Things (IoT): Sensors Application in Dairy Cattle Farming." Animals 14, no. 21 (2024): 3071. http://dx.doi.org/10.3390/ani14213071.

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The expansion of dairy cattle farms and the increase in herd size have made the control and management of animals more complex, with potentially negative effects on animal welfare, health, productive/reproductive performance and consequently farm income. Precision Livestock Farming (PLF) is based on the use of sensors to monitor individual animals in real time, enabling farmers to manage their herds more efficiently and optimise their performance. The integration of sensors and devices used in PLF with the Internet of Things (IoT) technologies (edge computing, cloud computing, and machine lear

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Kumari, M., Som veer, RR Deshmukh, RV Vinchurkar, and PL Parameswari. "Computer Vision Driven Precision Dairy Farming for Efficient Cattle Management." 3 2, no. 3 (2023): 47–54. http://dx.doi.org/10.46632/jdaai/2/3/9.

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Precision Dairy Farming (PDF)” or “The Per Animal Approach” can be enhanced through the implementation of three-dimensional computer vision, which offers improved cattle identification, disease monitoring, and growth assessment. The integration of 3D vision systems is particularly vital for advancing dairy farming practices in the next generation. These systems facilitate the automation of various animal husbandry tasks, including monitoring, herding, feeding, milking, and bedding of animals. The applications of 3D computer vision in PLF encompass diverse platforms, such as 3D camera installat

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Williams, Eiry Gwenllian, Chelsea N. Davis, Manod Williams, et al. "Associations between Gastrointestinal Nematode Infection Burden and Lying Behaviour as Measured by Accelerometers in Periparturient Ewes." Animals 12, no. 18 (2022): 2393. http://dx.doi.org/10.3390/ani12182393.

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The application of precision livestock farming (PLF) technologies will underpin new strategies to support the control of livestock disease. However, PLF technology is underexploited within the sheep industry compared to other livestock sectors, and research is essential to identify opportunities for PLF applications. These opportunities include the control of endemic sheep disease such as parasitic gastroenteritis, caused by gastrointestinal nematode infections, which is estimated to cost the European sheep industry EUR 120 million annually. In this study, tri-axial accelerometers recorded the

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Popova, Yovka, Stayka Laleva, Magdalena Oblakova, Nikolay Ivanov, Ivan Slavov, and Nedka Dimova. "Precision livestock farming: essence and application in large and small ruminants. Review." Bulgarian Journal of Animal Husbandry 61, no. 2 (2024): 54–63. http://dx.doi.org/10.61308/cfas3508.

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In the new program period 2021-2027, the strategic goal for the development of European agriculture is defined as „stimulating and sharing knowledge, innovation, digitization and promoting their use to a greater extent“. The increasing number of animals on farms, the requirements for humane treatment and environmental protection, as well as the implementation of production systems with limited use of resources require new solutions that can be found in digital technologies used throughout the livestock system. Precision livestock farming involves the use of digital technologies. It aims to imp

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Perez Garcia, Carlos Alejandro, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari, and Stefano Benni. "Indoor Temperature Forecasting in Livestock Buildings: A Data-Driven Approach." Agriculture 14, no. 2 (2024): 316. http://dx.doi.org/10.3390/agriculture14020316.

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The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficiency and animal health. Unlike traditional methods, PLF uses machine learning (ML) algorithms to analyze data in real time, providing valuable insights to decision makers. Dairy farming in diverse climates is challenging and requires well-designed structures to regulate internal environmental parameters. This study explores the application of the

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