ArticleSensors (Basel, Switzerland)2020
Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 80 citations in OpenAlex.
- From machine learning to digital twin integration for livestock production and research.Frontiers in veterinary science · 2026Review
- Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.Veterinary medicine and science · 2025Review
- AI and Data Analytics in the Dairy Farms: A Scoping Review.Animals : an open access journal from MDPI · 2025Review
- Heat Stress in Dairy Cows: Impacts, Identification, and Mitigation Strategies-A Review.Animals : an open access journal from MDPI · 2025Review
- Heat stress affects dairy cow performance via oxidative stress, hypothalamic-pituitary-adrenal axis, gut microbiota, and multi-dimensional mitigation.Frontiers in veterinary science · 2025Review
- Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock.Sensors (Basel, Switzerland) · 2024Review
- A Literature Review of Modeling Approaches Applied to Data Collected in Automatic Milking Systems.Animals : an open access journal from MDPI · 2023Review
- A non-intrusive and reactive architecture to support real-time ETL processes in data warehousing environments.Heliyon · 2023Article
- A Machine Learning Framework Based on Extreme Gradient Boosting to Predict the Occurrence and Development of Infectious Diseases in Laying Hen Farms, Taking H9N2 as an Example.Animals : an open access journal from MDPI · 2023Article
- Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming.Journal of animal science · 2023Article
- Birth of dairy 4.0: Opportunities and challenges in adoption of fourth industrial revolution technologies in the production of milk and its derivatives.Current research in food science · 2023Review
- The Potentialities of Machine Learning for Cow-Specific Milking: Automatically Setting Variables in Milking Machines.Animals : an open access journal from MDPI · 2022Article
- Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study.Sensors (Basel, Switzerland) · 2021Review
- Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence.Sensors (Basel, Switzerland) · 2021Article
- Editorial: Special Issue "Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems".Sensors (Basel, Switzerland) · 2021Article
- Machine Learning in Agriculture: A Comprehensive Updated Review.Sensors (Basel, Switzerland) · 2021Review
- Recent Advances on Early Detection of Heat Strain in Dairy Cows Using Animal-Based Indicators: A Review.Animals : an open access journal from MDPI · 2021Review
- Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.Sensors (Basel, Switzerland) · 2020Article
- Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate change, are impacting the heat stress levels of farm animals. These impacts could have detrimental effects on the milk quality and productivity of dairy cows. This research used four years of data from a robotic dairy farm from 36 cows with similar heat tolerance (Model 1), and all 312 cows from the farm (Model 2). These data consisted of programmed concentrate feed and weight combined with weather parameters to develop supervised machine learning fitting models to predict milk yield, fat and protein content, and actual cow concentrate feed intake. Results showed highly accurate models, which were developed for cows with a similar genetic heat tolerance (Model 1: n = 116, 456; R = 0.87; slope = 0.76) and for all cows (Model 2: n = 665, 836; R = 0.86; slope = 0.74). Furthermore, an artificial intelligence (AI) system was proposed to increase or maintain a targeted level of milk quality by reducing heat stress that could be applied to a conventional dairy farm with minimal technology addition.
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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.