A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows

Milk production plays an essential role in the global economy. With the development of herds and farming systems, the collection of fine-scale data to enhance efficiency and decision-making on dairy farms still faces challenges. The behavior of animals reflects their physical state and health level....

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Main Authors: Na Liu, Jingwei Qi, Xiaoping An, Yuan Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/13/10/1858
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author Na Liu
Jingwei Qi
Xiaoping An
Yuan Wang
author_facet Na Liu
Jingwei Qi
Xiaoping An
Yuan Wang
author_sort Na Liu
collection DOAJ
description Milk production plays an essential role in the global economy. With the development of herds and farming systems, the collection of fine-scale data to enhance efficiency and decision-making on dairy farms still faces challenges. The behavior of animals reflects their physical state and health level. In recent years, the rapid development of the Internet of Things (IoT), artificial intelligence (AI), and computer vision (CV) has made great progress in the research of precision dairy farming. Combining data from image, sound, and movement sensors with algorithms, these methods are conducive to monitoring the behavior, health, and management practices of dairy cows. In this review, we summarize the latest research on contact sensors, vision analysis, and machine-learning technologies applicable to dairy cattle, and we focus on the individual recognition, behavior, and health monitoring of dairy cattle and precise feeding. The utilization of state-of-the-art technologies allows for monitoring behavior in near real-time conditions, detecting cow mastitis in a timely manner, and assessing body conditions and feed intake accurately, which enables the promotion of the health and management level of dairy cows. Although there are limitations in implementing machine vision algorithms in commercial settings, technologies exist today and continue to be developed in order to be hopefully used in future commercial pasture management, which ultimately results in better value for producers.
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spelling doaj.art-882b24110cae4b66a8840c629b3375512023-11-19T15:17:48ZengMDPI AGAgriculture2077-04722023-09-011310185810.3390/agriculture13101858A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy CowsNa Liu0Jingwei Qi1Xiaoping An2Yuan Wang3College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, ChinaMilk production plays an essential role in the global economy. With the development of herds and farming systems, the collection of fine-scale data to enhance efficiency and decision-making on dairy farms still faces challenges. The behavior of animals reflects their physical state and health level. In recent years, the rapid development of the Internet of Things (IoT), artificial intelligence (AI), and computer vision (CV) has made great progress in the research of precision dairy farming. Combining data from image, sound, and movement sensors with algorithms, these methods are conducive to monitoring the behavior, health, and management practices of dairy cows. In this review, we summarize the latest research on contact sensors, vision analysis, and machine-learning technologies applicable to dairy cattle, and we focus on the individual recognition, behavior, and health monitoring of dairy cattle and precise feeding. The utilization of state-of-the-art technologies allows for monitoring behavior in near real-time conditions, detecting cow mastitis in a timely manner, and assessing body conditions and feed intake accurately, which enables the promotion of the health and management level of dairy cows. Although there are limitations in implementing machine vision algorithms in commercial settings, technologies exist today and continue to be developed in order to be hopefully used in future commercial pasture management, which ultimately results in better value for producers.https://www.mdpi.com/2077-0472/13/10/1858information technologiesprecision dairy farmingindividual recognitionbehavioral monitoring
spellingShingle Na Liu
Jingwei Qi
Xiaoping An
Yuan Wang
A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows
Agriculture
information technologies
precision dairy farming
individual recognition
behavioral monitoring
title A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows
title_full A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows
title_fullStr A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows
title_full_unstemmed A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows
title_short A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows
title_sort review on information technologies applicable to precision dairy farming focus on behavior health monitoring and the precise feeding of dairy cows
topic information technologies
precision dairy farming
individual recognition
behavioral monitoring
url https://www.mdpi.com/2077-0472/13/10/1858
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