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工业 4.0 和精准畜牧业(PLF):动物生产的最新综述

Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.

机构信息

Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy.

Research Unit of Animal Breeding Sciences, Department of Agriculture, University of Sassari, 07100 Sassari, Italy.

出版信息

Sensors (Basel). 2022 Jun 7;22(12):4319. doi: 10.3390/s22124319.


DOI:10.3390/s22124319
PMID:35746102
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9228240/
Abstract

Precision livestock farming (PLF) has spread to various countries worldwide since its inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry 4.0 and the Internet of Things (IoT) have enabled a continued advancement and development of PLF. This modern technological approach to animal farming and production encompasses ethical, economic and logistical aspects. The aim of this review is to provide an overview of PLF and Industry 4.0, to identify current applications of this rather novel approach in different farming systems for food producing animals, and to present up to date knowledge on the subject. Current scientific literature regarding the spread and application of PLF and IoT shows how efficient farm animal management systems are destined to become. Everyday farming practices (feeding and production performance) coupled with continuous and real-time monitoring of animal parameters can have significant impacts on welfare and health assessment, which are current themes of public interest. In the context of feeding a rising global population, the agri-food industry and industry 4.0 technologies may represent key features for successful and sustainable development.

摘要

精准畜牧养殖(PLF)自 2003 年创立以来已在全球各国得到广泛传播,尽管尚未被广泛采用。此外,工业 4.0 和物联网(IoT)的出现使得 PLF 得以持续发展和进步。这种现代的动物养殖和生产技术方法涵盖了伦理、经济和物流等方面。本文的目的是概述 PLF 和工业 4.0,并确定这种相对新颖的方法在不同的食品生产动物养殖系统中的当前应用,并介绍该主题的最新知识。关于 PLF 和物联网的传播和应用的当前科学文献表明,高效的农场动物管理系统将成为必然。日常养殖实践(喂养和生产性能)以及对动物参数的持续实时监测,可能会对福利和健康评估产生重大影响,这是当前公众关注的主题。在为不断增长的全球人口提供食物的背景下,农业食品行业和工业 4.0 技术可能是成功和可持续发展的关键特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40b/9228240/e3e1d953f323/sensors-22-04319-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40b/9228240/cd2a89e2f9a1/sensors-22-04319-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40b/9228240/e3e1d953f323/sensors-22-04319-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40b/9228240/cd2a89e2f9a1/sensors-22-04319-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40b/9228240/e3e1d953f323/sensors-22-04319-g002.jpg

相似文献

[1]
Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.

Sensors (Basel). 2022-6-7

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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[1]
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[2]
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[3]
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[4]
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Animals (Basel). 2025-4-1

[5]
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Animals (Basel). 2025-2-10

[6]
Wearable Collar Technologies for Dairy Cows: A Systematized Review of the Current Applications and Future Innovations in Precision Livestock Farming.

Animals (Basel). 2025-2-6

[7]
The role of artificial intelligence in Latin American ruminant production systems.

Anim Front. 2025-1-4

[8]
Manure odor profiling for flock-level monitoring on commercial layer pullet farms: Vaccination events as a model stressor.

Poult Sci. 2025-2

[9]
Internet of Things (IoT): Sensors Application in Dairy Cattle Farming.

Animals (Basel). 2024-10-24

[10]
An Overview of Software Sensor Applications in Biosystem Monitoring and Control.

Sensors (Basel). 2024-10-20

本文引用的文献

[1]
Consumer acceptance of novel food technologies.

Nat Food. 2020-6

[2]
Evaluation of an Active LF Tracking System and Data Processing Methods for Livestock Precision Farming in the Poultry Sector.

Sensors (Basel). 2022-1-15

[3]
Detecting Animal Contacts-A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts.

Sensors (Basel). 2021-11-12

[4]
What Are Sheep Doing? Tri-Axial Accelerometer Sensor Data Identify the Diel Activity Pattern of Ewe Lambs on Pasture.

Sensors (Basel). 2021-10-13

[5]
Evaluation of Infrared Thermography for the Detection of Footrot and White Line Disease Lesions in Dairy Sheep.

Vet Sci. 2021-10-5

[6]
A Systematic Review on Validated Precision Livestock Farming Technologies for Pig Production and Its Potential to Assess Animal Welfare.

Front Vet Sci. 2021-5-14

[7]
Random Forest Modelling of Milk Yield of Dairy Cows under Heat Stress Conditions.

Animals (Basel). 2021-4-30

[8]
Consumer Perceptions of Precision Livestock Farming-A Qualitative Study in Three European Countries.

Animals (Basel). 2021-4-23

[9]
Integrating the RFID identification system for Charolaise breeding bulls with 3D imaging for virtual archive creation.

PeerJ Comput Sci. 2019-3-4

[10]
Evaluation of the RumiWatch system as a benchmark to monitor feeding and locomotion behaviors of grazing dairy cows.

J Dairy Sci. 2021-3

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