高光谱技术在作物叶绿素含量检测中的应用研究进展

Advance on application of hyperspectral technology in detection of crop chlorophyll content

高光谱技术作为一种新兴光谱技术,被广泛应用于植物的无损检测中,植被叶片叶绿素含量的估测就是其中之一。为了更好地利用高光谱技术进行叶绿素含量估测,学者们研究了众多相关模型来进行估算,并通过对比和检验使结果更加准确。对近几年来学者们通过高光谱技术对一些经济作物(小麦、水稻、蔬菜、大豆、黄瓜、脐橙、苹果等)进行叶绿素含量估测方面所取得的成果(包括原理、实验对象、模型建立、效果等)进行总结,并进行展望。

Hyperspectral technology is a new spectrum technology widely used in nondestructive testing of plant. The prediction of chlorophyll content is one of them. In order to make better use of hyperspectral technology for chlorophyll content estimation, scholars studied a lot of correlation models, and contrasted and tested these models to make them more accurate. This paper summed up scholars＇ achievements on chlorophyll detection of some economic crops including wheat, rice, vegetable, bean, cucumber, navel orange and apple by vegetation index and statistical analysis, etc. At last, prospect of application of hyperspeetral technology in detection of crop chlorophyll content was proposed.