Sensing technologies for precision specialty crop production

精准农业 农业工程 多光谱图像 遥感 环境科学 高光谱成像 农业 计算机科学 工程类 地理 考古
作者
Won Suk Lee,V. Alchanatis,Chenghai Yang,Masayuki Hirafuji,Dimitrios Moshou,C. Li
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:74 (1): 2-33 被引量:399
标识
DOI:10.1016/j.compag.2010.08.005
摘要

With the advances in electronic and information technologies, various sensing systems have been developed for specialty crop production around the world. Accurate information concerning the spatial variability within fields is very important for precision farming of specialty crops. However, this variability is affected by a variety of factors, including crop yield, soil properties and nutrients, crop nutrients, crop canopy volume and biomass, water content, and pest conditions (disease, weeds, and insects). These factors can be measured using diverse types of sensors and instruments such as field-based electronic sensors, spectroradiometers, machine vision, airborne multispectral and hyperspectral remote sensing, satellite imagery, thermal imaging, RFID, and machine olfaction system, among others. Sensing techniques for crop biomass detection, weed detection, soil properties and nutrients are most advanced and can provide the data required for site specific management. On the other hand, sensing techniques for diseases detection and characterization, as well as crop water status, are based on more complex interaction between plant and sensor, making them more difficult to implement in the field scale and more complex to interpret. This paper presents a review of these sensing technologies and discusses how they are used for precision agriculture and crop management, especially for specialty crops. Some of the challenges and considerations on the use of these sensors and technologies for specialty crop production are also discussed.

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
小静静发布了新的文献求助10
刚刚
LHW完成签到,获得积分20
刚刚
1秒前
weiweiwu12发布了新的文献求助10
1秒前
科研通AI5应助窝瓜顶呱呱采纳,获得10
1秒前
科研通AI5应助oscar采纳,获得30
1秒前
marg发布了新的文献求助10
2秒前
Klar完成签到,获得积分10
2秒前
孟浮尘发布了新的文献求助10
3秒前
H1完成签到,获得积分10
3秒前
4秒前
YANer完成签到,获得积分10
4秒前
4秒前
Ava应助huxi采纳,获得10
4秒前
明理大树完成签到,获得积分20
5秒前
慈祥的鸣凤完成签到 ,获得积分10
5秒前
5秒前
量子星尘发布了新的文献求助20
6秒前
Aurora发布了新的文献求助10
6秒前
零蝉完成签到 ,获得积分10
7秒前
7秒前
子凡应助Lwj采纳,获得10
7秒前
天岚发布了新的文献求助10
8秒前
温暖的源智完成签到 ,获得积分10
9秒前
星辰大海应助小静静采纳,获得10
9秒前
学勾巴发布了新的文献求助10
9秒前
命运的X号发布了新的文献求助10
10秒前
整齐的白筠完成签到 ,获得积分10
10秒前
Klar发布了新的文献求助10
11秒前
liu发布了新的文献求助10
11秒前
12秒前
13秒前
13秒前
fyy完成签到 ,获得积分10
13秒前
聪慧的松鼠完成签到,获得积分10
13秒前
14秒前
迟大猫应助wwc采纳,获得10
14秒前
量子星尘发布了新的文献求助10
14秒前
科研通AI5应助lulu采纳,获得10
14秒前
科研通AI5应助lulu采纳,获得10
14秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The Insulin Resistance Epidemic: Uncovering the Root Cause of Chronic Disease  500
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3663010
求助须知:如何正确求助?哪些是违规求助? 3223738
关于积分的说明 9753126
捐赠科研通 2933645
什么是DOI,文献DOI怎么找? 1606294
邀请新用户注册赠送积分活动 758404
科研通“疑难数据库(出版商)”最低求助积分说明 734792