基于图像处理的作物营养诊断研究进展  

Advances in Research on Crop Nutrient Diagnosis Based on Image Processing

作　　者：秦小立[1] 叶露[1] 李玉萍[1] 刘燕群[1] 谢铮辉[1] QIN Xiaoli YE Lu LI Yuping LIU Yanqun XIE Zhenghui(Institute of Scientific and Technical Information, CATAS/Hainan Key Lab of Tropical Crops Information Technology Application Research, Danzhou, Hainan 571737)

机构地区：[1]中国热带农业科学院科技信息研究所/海南省热带作物信息技术应用研究重点实验室,海南儋州571737

出　　处：《热带农业科学》2016年第9期101-108,共8页Chinese Journal of Tropical Agriculture

基　　金：海南省自然科学基金项目(No.614245)

摘　　要：近年来,随着农业化肥滥用问题的日益突出,图像处理技术在作物营养诊断上的应用研究越来越多。通过对作物营养诊断研究背景的阐述,指出图像处理技术在作物营养诊断上应用的重要意义,介绍作物图像营养诊断研究的总体情况和基本思路,论述作物图像采集、图像预处理、特征提取与优化、分类识别4个环节所用技术方法以及取得的成果,并分析作物图像营养诊断方面存在的问题。In recent years overuse of chemical fertilizer has become an increasingly prominent issue, and crop nutrition diagnosis based on image processing technology has been developed to solve this issue. The paper describes the research background of crop nutrition diagnosis, points out the significance of application of crop nutrient diagnosis based on image processing technology, and summarizes the overall situation and the basic ideas of crop image nutrition diagnosis. It also describes the technical methods and results of crop image acquisition, image preprocessing, feature extraction and optimization, classification and identification. The problems arising from the diagnosis of crop nutrition based on image processing are discussed, based on which the main directions of future research are proposed.

关 键 词：作物营养诊断 图像处理 特征提取 分类识别 

分 类 号：S126[农业科学—农业基础科学]