一个专门的审查机器人修剪:当前的技术,挑战和未来的方向

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Navid Nouri , Hussein Gharakhani
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引用次数: 0

摘要

鉴于劳动力短缺,向自动化和机器人修剪的过渡已成为现代农业不可或缺的一部分。修剪机器人技术的最新进展,特别是通过集成先进的机器视觉算法,解决了在修剪任务中准确检测分支的挑战,显著提高了修剪操作的精度和整体性能。虽然对修剪机器人进行了大量的研究,但对所进行的研究项目的全面评论却很少。这篇综述试图提供一个新的视角对修剪机器人的关键组成部分,包括感知系统,平台,机械手,末端执行器,路径规划算法和控制系统。通过评估现有研究,本研究确定了当前挑战的最有效解决方案,并为改进机器人修剪系统基本组件的设计和功能提供了前瞻性建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dedicated review of robotic pruners: current technologies, challenges, and future directions
In light of labor shortages, the transition towards automation and robotic pruning has become indispensable in modern agriculture. Recent advancements in pruning robotic technologies, particularly through integrating advanced machine vision algorithms, have addressed challenges in accurate branch detection for pruning tasks, significantly enhancing pruning operations’ precision and overall performance. While numerous studies have been conducted on pruning robots, comprehensive reviews about the conducted research projects are scant. This review seeks to offer a fresh perspective on the key components of pruning robots, including the perception system, platform, manipulator, end-effector, path-planning algorithms, and control systems. By evaluating existing research, this study identifies the most effective solutions to current challenges and provides forward-looking recommendations for improving the design and functionality of the essential components of a robotic pruning system.
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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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