ReviewSensors (Basel, Switzerland)2023
Cow Behavioural Activities in Extensive Farms: Challenges of Adopting Automatic Monitoring Systems.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Monitoring Behavior and Welfare of Cattle in Response to Summer Weather in an Arizona Rangeland Pasture Using a Commercial Rumen Bolus.Animals : an open access journal from MDPI · 2025Article
- Impacts of early postpartum behavioral patterns on the fertility and milk production of tropical dairy cows.Veterinary world · 2025Article
- Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features.Scientific reports · 2025Article
- A dataset for detecting walking, grazing, and resting behaviors in free-grazing cattle using IoT collar IMU signals.Frontiers in veterinary science · 2025Article
- Machine Learning-Based Prediction of Cattle Activity Using Sensor-Based Data.Sensors (Basel, Switzerland) · 2024Article
- Multi-Target Feeding-Behavior Recognition Method for Cows Based on Improved RefineMask.Sensors (Basel, Switzerland) · 2024Article
- Article
- Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation.Sensors (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Animal welfare is becoming an increasingly important requirement in the livestock sector to improve, and therefore raise, the quality and healthiness of food production. By monitoring the behaviour of the animals, such as feeding, rumination, walking, and lying, it is possible to understand their physical and psychological status. Precision Livestock Farming (PLF) tools offer a good solution to assist the farmer in managing the herd, overcoming the limits of human control, and to react early in the case of animal health issues. The purpose of this review is to highlight a key concern that occurs in the design and validation of IoT-based systems created for monitoring grazing cows in extensive agricultural systems, since they have many more, and more complicated, problems than indoor farms. In this context, the most common concerns are related to the battery life of the devices, the sampling frequency to be used for data collection, the need for adequate service connection coverage and transmission range, the computational site, and the performance of the algorithm embedded in IoT-systems in terms of computational cost.
Indexed as
Identifiers
What OpenQuestion holds
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.