Stereoscopic plant-protection system integrating UAVs and autonomous ground sprayers for orchards

生物 环境科学
作者
Shijie Jiang,Bingtai Chen,Wenwei Li,Shaoqiong Yang,Yongjun Zheng,Xingxing Liu
出处
期刊:Frontiers in Plant Science [Frontiers Media SA]
卷期号:13 被引量:2
标识
DOI:10.3389/fpls.2022.1040808
摘要

For orchard plant protection, conventional large machines and small sprayers are practically restricted by either narrow planting intervals with dense leaves or their inadequate penetration power, which leads to an unsatisfactory effect of spray. This paper proposes a stereoscopic plant-protection strategy that integrates unmanned air and ground sprayers to spray different parts of canopies to improve uniformity. In order to verify the proposal, a stereoscopic plant-protection system (SPS) was developed, consisting of a small swing-arm sprayer and a T16 plant-protection Unmanned Aerial Vehicle (UAV). Then, optimal operation parameters were determined by Computational Fluid Dynamics (CFD) and orthogonal experiments, and the uniformity was finally quantified by trials. CFD and orthogonal experiments showed that a swing-arm angle of 60° and a forward speed of 0.4 m/s were optimal for the ground sprayer, whilst a height of 2.0 m from the top of canopies and a forward speed of 1.0 m/s were appropriate for the UAV. The trial results showed that the density of vertical droplet deposition varied from 90 to 107 deposits/cm2 in canopies, and the uniformity was 38.3% higher than conventional approaches. The uniformity of top, bottom, inside and outside canopies was significantly improved. Meanwhile, the density of droplet deposition on both sides of leaves in all test points exceeded 25 deposits/cm2, able to meet the standard of spray. This study provides a practical approach for uniform pesticide spray to large-canopy fruit trees. Moreover, the high flexibility of plant-protection UAVs and the significant trafficability of small swing-arm sprayers can solve the problem of large machine entering and leaving orchards.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
斯文败类应助尊敬寒松采纳,获得10
1秒前
1秒前
ZZICU完成签到,获得积分10
2秒前
科里斯皮尔应助悦24采纳,获得10
2秒前
3秒前
Jasper应助微笑的茗茗采纳,获得10
3秒前
4秒前
8秒前
FIN应助爱读明史高育良采纳,获得30
9秒前
9秒前
袁晗颖完成签到,获得积分20
9秒前
传奇3应助子衿采纳,获得10
9秒前
12秒前
13秒前
黄小柒发布了新的文献求助10
16秒前
尊敬寒松发布了新的文献求助10
17秒前
17秒前
深情安青应助努力合成采纳,获得10
19秒前
19秒前
深情安青应助CL采纳,获得10
19秒前
20秒前
科里斯皮尔应助ChatGPT采纳,获得10
23秒前
上官若男应助沧月汐采纳,获得10
23秒前
23秒前
勤奋猎豹完成签到,获得积分10
24秒前
27秒前
九龍完成签到 ,获得积分10
28秒前
平淡雅霜发布了新的文献求助10
29秒前
30秒前
黄小柒完成签到,获得积分10
30秒前
轩辕寄风完成签到,获得积分10
31秒前
微笑的依凝完成签到,获得积分10
31秒前
爱竹子的Panda完成签到 ,获得积分10
32秒前
落寞皓轩发布了新的文献求助20
33秒前
思源应助成就的山水采纳,获得10
34秒前
34秒前
小马甲应助deshen采纳,获得10
35秒前
36秒前
36秒前
脑洞疼应助要减肥的丹云采纳,获得10
37秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2481959
求助须知:如何正确求助?哪些是违规求助? 2144460
关于积分的说明 5470120
捐赠科研通 1866929
什么是DOI,文献DOI怎么找? 928003
版权声明 563071
科研通“疑难数据库(出版商)”最低求助积分说明 496455