ArticleJournal of animal science2023
Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming.
Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Nanoconfinement-Driven Solid-State Ratiometric Fluorescent Aptasensor for 17β-Estradiol Detection in Complex Matrices.Biosensors · 2026Article
- Integrating agentic artificial intelligence into pasture-based dairy systems: Applications, governance, and future directions.JDS communications · 2026Article
- Modeling the Adaptation of Dairy Cows to Automatic Milking Systems Using Statistical Methods and Machine Learning: Development of the Robotic Adaptability Index.Animals : an open access journal from MDPI · 2026Article
- Productive and Reproductive Record Keeping in Low-to-Middle-Income Tropical Livestock Systems: Challenges and Perspectives.Animals : an open access journal from MDPI · 2026Review
- Navigating AI deployment in precision livestock farming: current trends and future prospects.Animal frontiers : the review magazine of animal agriculture · 2026Article
- Artificial intelligence for animal science: from applications to integrated knowledge systems.Animal frontiers : the review magazine of animal agriculture · 2026Article
- - Invited Review - Computer vision in precision livestock farming: artificial intelligence-driven technologies and applications for sustainable animal production.Animal bioscience · 2026Article
- - Invited Review - Biosensors in precision livestock farming in dairy production: decoding animals' needs.Animal bioscience · 2026Article
- ASAS-NANP Symposium: Mathematical modeling in animal nutrition: revolutionizing animal farming with artificial intelligence: trends, challenges, and opportunities.Journal of animal science · 2026Review
- Regulation of the veterinary profession: the authorization to practice, origins, milestones, and emerging challenges.Frontiers in veterinary science · 2026Article
- Fuzzy Logic-Based Decision Support for Dairy Cattle Welfare Integrating Different Benchmarks.Animals : an open access journal from MDPI · 2025Article
- Precision Livestock Farming Applied to Swine Farms-A Systematic Literature Review.Animals : an open access journal from MDPI · 2025Review
- Adaptive high-distance RGB imaging for accurate dairy cow feed intake estimation.Journal of animal science · 2025Article
- Developing a regression equation model to predict individual water intake in Holstein growing cattle using reticulorumen temperature.Journal of animal science · 2025Article
- Production responses of dairy cows to precision feeding based on historical performance during short-term changes in supplementation.Journal of animal science · 2025Article
- Internet of Things (IoT): Sensors Application in Dairy Cattle Farming.Animals : an open access journal from MDPI · 2024Review
- Relationship between Dairy Cow Health and Intensity of Greenhouse Gas Emissions.Animals : an open access journal from MDPI · 2024Review
- A Framework for Transparency in Precision Livestock Farming.Animals : an open access journal from MDPI · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision livestock farming (PLF) offers a strategic solution to enhance the management capacity of large animal groups, while simultaneously improving profitability, efficiency, and minimizing environmental impacts associated with livestock production systems. Additionally, PLF contributes to optimizing the ability to manage and monitor animal welfare while providing solutions to global grand challenges posed by the growing demand for animal products and ensuring global food security. By enabling a return to the "per animal" approach by harnessing technological advancements, PLF enables cost-effective, individualized care for animals through enhanced monitoring and control capabilities within complex farming systems. Meeting the nutritional requirements of a global population exponentially approaching ten billion people will likely require the density of animal proteins for decades to come. The development and application of digital technologies are critical to facilitate the responsible and sustainable intensification of livestock production over the next several decades to maximize the potential benefits of PLF. Real-time continuous monitoring of each animal is expected to enable more precise and accurate tracking and management of health and well-being. Importantly, the digitalization of agriculture is expected to provide collateral benefits of ensuring auditability in value chains while assuaging concerns associated with labor shortages. Despite notable advances in PLF technology adoption, a number of critical concerns currently limit the viability of these state-of-the-art technologies. The potential benefits of PLF for livestock management systems which are enabled by autonomous continuous monitoring and environmental control can be rapidly enhanced through an Internet of Things approach to monitoring and (where appropriate) closed-loop management. In this paper, we analyze the multilayered network of sensors, actuators, communication, networking, and analytics currently used in PLF, focusing on dairy farming as an illustrative example. We explore the current state-of-the-art, identify key shortcomings, and propose potential solutions to bridge the gap between technology and animal agriculture. Additionally, we examine the potential implications of advancements in communication, robotics, and artificial intelligence on the health, security, and welfare of animals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.