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应用精密技术表征动物行为:综述

Application of Precision Technologies to Characterize Animal Behavior: A Review.

作者信息

Hlimi Abdellah, El Otmani Samira, Elame Fouad, Chentouf Mouad, El Halimi Rachid, Chebli Youssef

机构信息

Regional Center of Agricultural Research of Tangier, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, Rabat 10090, Morocco.

Laboratory of Mathematics and Applications, Faculty of Science and Technology, Abdelmalek Essaâdi University, Tangier 90000, Morocco.

出版信息

Animals (Basel). 2024 Jan 27;14(3):416. doi: 10.3390/ani14030416.

DOI:10.3390/ani14030416
PMID:38338058
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10854988/
Abstract

This study aims to evaluate the state of precision livestock farming (PLF)'s spread, utilization, effectiveness, and evolution over the years. PLF includes a plethora of tools, which can aid in a number of laborious and complex tasks. These tools are often used in the monitoring of different animals, with the objective to increase production and improve animal welfare. The most frequently monitored attributes tend to be behavior, welfare, and social interaction. This study focused on the application of three types of technology: wearable sensors, video observation, and smartphones. For the wearable devices, the focus was on accelerometers and global positioning systems. For the video observation, the study addressed drones and cameras. The animals monitored by these tools were the most common ruminants, which are cattle, sheep, and goats. This review involved 108 articles that were believed to be pertinent. Most of the studied papers were very accurate, for most tools, when utilized appropriate; some showed great benefits and potential.

摘要

本研究旨在评估精准畜牧养殖(PLF)多年来的传播、利用、有效性及发展状况。精准畜牧养殖包含大量工具,可协助完成许多艰巨复杂的任务。这些工具常用于监测不同动物,目的是提高产量并改善动物福利。最常监测的属性往往是行为、福利和社交互动。本研究聚焦于三种技术的应用:可穿戴传感器、视频观测和智能手机。对于可穿戴设备,重点是加速度计和全球定位系统。对于视频观测,研究涉及无人机和摄像头。这些工具所监测的动物是最常见的反刍动物,即牛、绵羊和山羊。本综述纳入了108篇被认为相关的文章。对于大多数工具而言,在合理使用时,大多数研究论文都非常准确;有些显示出巨大的益处和潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad29/10854988/af124ecac642/animals-14-00416-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad29/10854988/af124ecac642/animals-14-00416-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad29/10854988/af124ecac642/animals-14-00416-g001.jpg

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Uncovering Patterns in Dairy Cow Behaviour: A Deep Learning Approach with Tri-Axial Accelerometer Data.揭示奶牛行为模式:一种基于三轴加速度计数据的深度学习方法
Animals (Basel). 2023 Jun 5;13(11):1886. doi: 10.3390/ani13111886.
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Potential for automatic detection of calving in beef cows grazing on rangelands from Global Navigate Satellite System collar data.利用全球导航卫星系统项圈数据自动检测放牧肉牛的产犊情况的潜力。
Animal. 2023 Aug;17(8):100901. doi: 10.1016/j.animal.2023.100901. Epub 2023 Jun 28.
3
GPS Tracking to Monitor the Spatiotemporal Dynamics of Cattle Behavior and Their Relationship with Feces Distribution.
利用全球定位系统跟踪监测牛行为的时空动态及其与粪便分布的关系。
Animals (Basel). 2022 Sep 12;12(18):2383. doi: 10.3390/ani12182383.
4
Estimation of Grazing Activity of Dairy Goats Using Accelerometers and Global Positioning System.利用加速度计和全球定位系统估算奶牛场山羊的放牧活动。
Sensors (Basel). 2022 Jul 27;22(15):5629. doi: 10.3390/s22155629.
5
Behavior Classification and Analysis of Grazing Sheep on Pasture with Different Sward Surface Heights Using Machine Learning.基于机器学习的不同草层高度牧场上放牧绵羊行为分类与分析
Animals (Basel). 2022 Jul 7;12(14):1744. doi: 10.3390/ani12141744.
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Development of a New Wearable 3D Sensor Node and Innovative Open Classification System for Dairy Cows' Behavior.新型可穿戴式3D奶牛行为传感器节点及创新开放式分类系统的研发
Animals (Basel). 2022 Jun 3;12(11):1447. doi: 10.3390/ani12111447.
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Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars.利用颈戴加速度计项圈对牛进行行为分类。
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