Development and evaluation of low-altitude remote sensing systems for crop production management

精准农业 遥感 农业 农业工程 环境科学 多光谱图像 高度(三角形) 计算机科学 地理 工程类 数学 几何学 考古
作者
Yanbo Huang,Steven J. Thomson,Howard James Jarrell Brand,Krishna N. Reddy
出处
期刊:International Journal of Agricultural and Biological Engineering [Chinese Society of Agricultural Engineering]
卷期号:9 (4): 1-11 被引量:12
标识
DOI:10.25165/ijabe.v9i4.2010
摘要

Precision agriculture accounts for within-field variability for targeted treatment rather than uniform treatment of an entire field. It is built on agricultural mechanization and state-of-the-art technologies of geographical information systems (GIS), global positioning systems (GPS) and remote sensing, and is used to monitor soil, crop growth, weed infestation, insects, diseases, and water status in farm fields to provide data and information to guide agricultural management practices. Precision agriculture began with mapping of crop fields at different scales to support agricultural planning and decision making. With the development of variable-rate technology, precision agriculture focuses more on tactical actions in controlling variable-rate seeding, fertilizer and pesticide application, and irrigation in real-time or within the crop season instead of mapping a field in one crop season to make decisions for the next crop season. With the development of aerial variable-rate systems, low-altitude airborne systems can provide high-resolution data for prescription variable-rate operations. Airborne systems for multispectral imaging using a number of imaging sensors (cameras) were developed. Unmanned aerial vehicles (UAVs) provide a unique platform for remote sensing of crop fields at slow speeds and low-altitudes, and they are efficient and more flexible than manned agricultural airplanes, which often cannot provide images at both low altitude and low speed for capture of high-quality images. UAVs are also more universal in their applicability than agricultural aircraft since the latter are used only in specific regions. This study presents the low-altitude remote sensing systems developed for detection of crop stress caused by multiple factors. UAVs, as a special platform, were discussed for crop sensing based on the researchers' studies. Keywords: low-altitude remote sensing, agricultural airplane, unmanned aerial vehicle (UAV), crop production management, precision agriculture DOI: 10.3965/j.ijabe.20160904.2010 Citation: Huang Y, Thomson S J, Brand H J, Reddy K N. Development of low-altitude remote sensing systems for crop production management. Int J Agric & Biol Eng, 2016; 9(4): 1-11.

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
西西红柿的应助被once采纳,获得10
刚刚
JamesPei的应助被稳重的tutu采纳,获得10
刚刚
cc发布了新的文献求助10
刚刚
天天快乐的应助被优美的葶采纳,获得30
刚刚
温书禾完成签到 ,获得积分10
1秒前
李不理哩完成签到,获得积分10
2秒前
2秒前
坦率灵槐的应助被坚持坚持采纳,获得10
3秒前
sasa完成签到,获得积分10
3秒前
汉堡包的应助被小乐子采纳,获得10
4秒前
4秒前
4秒前
5秒前
6秒前
yysmile发布了新的文献求助20
7秒前
8秒前
8秒前
刘刘完成签到,获得积分10
9秒前
明朗完成签到 ,获得积分10
9秒前
稳重的tutu发布了新的文献求助10
9秒前
10秒前
12秒前
科研通AI6.4的应助被零度火采纳,获得10
12秒前
a_xin完成签到,获得积分10
12秒前
TOM完成签到,获得积分10
12秒前
Christina发布了新的文献求助50
13秒前
13秒前
14秒前
ZB完成签到 ,获得积分10
14秒前
suhc138发布了新的文献求助10
14秒前
NexusExplorer的应助被yangbiupa采纳,获得10
15秒前
科研通AI6.4的应助被Amber采纳,获得10
16秒前
肖兔子哇完成签到 ,获得积分10
16秒前
SciGPT的应助被Vater采纳,获得10
16秒前
鼻揩了转去的应助被慧慧采纳,获得10
17秒前
莫里亚蒂完成签到,获得积分10
17秒前
狂的没边完成签到,获得积分10
18秒前
18秒前
闪闪映天发布了新的文献求助10
19秒前
小蘑菇的应助被伞漆贝采纳,获得10
20秒前
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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Exploring Mental Health in Education 600
Stochastic Models in Operations Research,Vol. 2 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8048754
求助须知:如何正确求助?哪些是违规求助? 9478253
关于积分的说明 21292229
捐赠科研通 7617014
什么是DOI,文献DOI怎么找? 3392730
关于科研通互助平台的介绍 2524030
邀请新用户注册赠送积分活动 2430837