摘要
获取作物的相关生长信息可以预测作物的生长和健康状态,是实现作物生产管理智能化的基础。植物的生长信息获取技术主要包括利用其电学特性、光学特性和机器视觉技术等,随着光谱技术的发展,近红外光谱技术、多光谱技术和高光谱技术在作物生长信息的获取应用上开始大量应用,并显示了其分析速度快、效率高、成本低、无需制备样品等优点,已成为一种快速、无损的现代分析技术。文章介绍了国内外运用光谱分析技术在作物生长信息获取上的研究情况,并分析了该技术应用于作物生长信息获取时尚存在的问题和今后的研究方向,提出了进行作物生长实时、智能化管理的必要性,需要加快研制相关的光谱自动分析设备,提高作物生长信息获取的速度,最后指出了结合机器视觉技术、红外成像技术、光谱分析技术等多种技术进行作物生长多种信息获取是未来发展的趋势。
Detection of plant growth information can predict growth and health status of plant and realize intelligentized management, detection techniques of plant growth information include electrical properties, optical reflectance and machine vision, with the development of spectroscopy technique, near infrared spectroscopy technique, multispectral technique and hyperspectral technique are widely used in plant growth information measurement. Spectroscopy technique is extremely fast, high efficient, cheap to implement and no sample preparation, has been a rapid and non-destructive modern measuring technique. In this paper, the application of spectroscopy technique to measurement of plant growth information was briefly introduced. Some considerable aspects existing in the application were also discussed and it is pointed out that because of real time information obtain and intelligentized management of plant, automation analysis equipment should be developed to improve the speed of plant growth information measurement and cooperating with several other techniques, such as machine vision, thermal imaging technique and spectroscopy technique, is the research trend.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2008年第6期1300-1304,共5页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金资助项目(60771064
60401002)资助
关键词
光谱分析技术
作物
生长信息
应用
Spectral analysis
Plant
Growth information
Application
