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Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters

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...

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Autores principales: Fuentes, Sigfredo, Gonzalez Viejo, Claudia, Cullen, Brendan, Tongson, Eden, Chauhan, Surinder S., Dunshea, Frank R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285505/
https://www.ncbi.nlm.nih.gov/pubmed/32456339
http://dx.doi.org/10.3390/s20102975
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author Fuentes, Sigfredo
Gonzalez Viejo, Claudia
Cullen, Brendan
Tongson, Eden
Chauhan, Surinder S.
Dunshea, Frank R.
author_facet Fuentes, Sigfredo
Gonzalez Viejo, Claudia
Cullen, Brendan
Tongson, Eden
Chauhan, Surinder S.
Dunshea, Frank R.
author_sort Fuentes, Sigfredo
collection PubMed
description 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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spelling pubmed-72855052020-06-15 Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters Fuentes, Sigfredo Gonzalez Viejo, Claudia Cullen, Brendan Tongson, Eden Chauhan, Surinder S. Dunshea, Frank R. Sensors (Basel) Article 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. MDPI 2020-05-24 /pmc/articles/PMC7285505/ /pubmed/32456339 http://dx.doi.org/10.3390/s20102975 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fuentes, Sigfredo
Gonzalez Viejo, Claudia
Cullen, Brendan
Tongson, Eden
Chauhan, Surinder S.
Dunshea, Frank R.
Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
title Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
title_full Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
title_fullStr Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
title_full_unstemmed Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
title_short Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
title_sort artificial intelligence applied to a robotic dairy farm to model milk productivity and quality based on cow data and daily environmental parameters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285505/
https://www.ncbi.nlm.nih.gov/pubmed/32456339
http://dx.doi.org/10.3390/s20102975
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