Robotics for poultry farming: Challenges and opportunities

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2024-09-07 DOI:10.1016/j.compag.2024.109411
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Abstract

Poultry farming plays a pivotal role in addressing human food demand. Robots are emerging as promising tools in poultry farming, with the potential to address sustainability issues while meeting the increasing production needs and demand for animal welfare. This review presents current advancements and limitations in robotics in poultry farming, and outlines future directions of development including robot-animal interactions. We survey the application of robots in different areas, from environmental monitoring to disease control, floor eggs collection and animal welfare. Robots not only demonstrate effective implementation on farms but also hold potential for ethological research on collective and social behaviour, which can in turn drive a better integration in industrial farming, with improved productivity and enhanced animal welfare.

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家禽养殖机器人:挑战与机遇
家禽养殖在满足人类食品需求方面发挥着举足轻重的作用。机器人正在成为家禽养殖业中大有可为的工具,在满足日益增长的生产需求和动物福利要求的同时,还有可能解决可持续发展问题。本综述介绍了当前机器人技术在家禽养殖方面的进展和局限,并概述了未来的发展方向,包括机器人与动物的互动。我们调查了机器人在不同领域的应用,从环境监测到疾病控制、地板鸡蛋收集和动物福利。机器人不仅在农场中得到了有效应用,而且在集体行为和社会行为的伦理学研究方面也具有潜力,这反过来又能推动工业化养殖的更好整合,提高生产率和动物福利。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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