亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Advances in apple’s automated orchard equipment: A comprehensive research

果园 工程类 计算机科学 农业工程 园艺 生物
作者
Mustafa Mhamed,Zhao Zhang,Jiangfan Yu,Yifei Li,Man Zhang
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:221: 108926-108926 被引量:12
标识
DOI:10.1016/j.compag.2024.108926
摘要

This study reviews the advancement of apple-related technology in six distinct domains: pruning, pollinating, thinning, bagging, harvesting, and sorting. Firstly, the pruning section discusses machine vision systems and moves on to mechanical branch-cutting methods, followed by automated apple pruning. Secondly, concerning pollination, we primarily focus on the growth of apple fruits, beginning with identifying blossoms, using artificial pollen, and mechanized pollination. Thirdly, in the thinning section, a review of achievements of the vision systems and mechanical and robotic thinning technologies. Fourthly, in apple bagging, we address the effects of apple bagging strategies, including the primary procedures, varieties of bags, and influencing aspects. Next, in the harvesting part, the view focuses on the vision strategies and recognition systems that include visible light, spectral, and thermal imaging by means of thorough analysis that considers the time, observations, techniques, and findings. After that, the localization of the apple assists in separating apples such as leaves, branches, and other overlapping apples, in addition to instructing end-effectors on how to grasp and extract apples. Furthermore, harvester robots' progress includes developments in machinery, grippers, arms, and manipulators, besides the assistance platforms for harvesting. Developing the machinery for sorting apples is the final area of focus. The machinery includes conveyors, sorting executors, and bin fillers. Vision systems imaging types and methods are followed by illumination systems, and identification strategies such as machine and deep learning algorithms are considered. In limitations and future views, we summarize the challenges of the six distinct domains and provide opportunities and future perspectives. By confirming the economic advantages and sustaining the expansion of academic organizations for technology development and industry, the study assists in boosting apple fruit quality and production.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Nan发布了新的文献求助10
刚刚
读读读完成签到,获得积分20
1秒前
竹青完成签到 ,获得积分10
2秒前
4秒前
斑马兽发布了新的文献求助10
8秒前
汉堡包应助宋良博采纳,获得10
8秒前
小李老博完成签到,获得积分10
14秒前
kento完成签到,获得积分0
16秒前
GingerF应助kento采纳,获得50
19秒前
29秒前
30秒前
读读读发布了新的文献求助10
33秒前
斑马兽发布了新的文献求助10
37秒前
胡德完成签到 ,获得积分10
49秒前
我是老大应助科研通管家采纳,获得10
51秒前
53秒前
酷波er应助yehan采纳,获得10
1分钟前
1分钟前
1分钟前
顾矜应助贲妙海采纳,获得10
1分钟前
斑马兽发布了新的文献求助10
1分钟前
1分钟前
Jasper应助个性向日葵采纳,获得10
1分钟前
贲妙海完成签到,获得积分20
1分钟前
1分钟前
1分钟前
yehan发布了新的文献求助10
1分钟前
宋良博完成签到,获得积分10
1分钟前
1分钟前
贲妙海发布了新的文献求助10
1分钟前
1分钟前
啦啦啦完成签到 ,获得积分10
1分钟前
斑马兽发布了新的文献求助10
1分钟前
宋良博发布了新的文献求助10
1分钟前
领导范儿应助mol采纳,获得10
1分钟前
yehan完成签到,获得积分10
1分钟前
1分钟前
斑马兽完成签到,获得积分10
1分钟前
李健应助斑马兽采纳,获得10
1分钟前
mol发布了新的文献求助10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6384197
求助须知:如何正确求助?哪些是违规求助? 8196507
关于积分的说明 17332197
捐赠科研通 5437754
什么是DOI,文献DOI怎么找? 2875930
邀请新用户注册赠送积分活动 1852438
关于科研通互助平台的介绍 1696804