摘要
计算机图像处理技术是人工智能与模式识别的一个重要领域,其应用已扩展到农业领域的诸多方面。通过广泛查阅文献,分析了数字图像处理技术在小麦生产方面的研究和应用进展情况,概述了图像处理技术在小麦生产过程中各阶段的应用成果,如在小麦叶面积指数测定、病虫害识别、叶绿素含量测定以及产量预测等方面的应用,提出了尚待研究解决的关键问题,并展望了图像处理技术在小麦生产上的应用前景。
Computer image processing technology is an important field of artificial intelligence and pattern recognition,and its application has been extended to many aspects of agriculture.Based on extensive literature review,we analyzed the digital image processing technology in wheat production progress in research and application,and summarized the image processing technology for each stage of wheat production in the process of the application,such as the determination of wheat leaf area index,plant diseases and pest identification,determination of chlorophyll content,and the application of production prediction,etc.The key problems to be solved were put forward,and the application prospect of image processing technology in wheat production was forecasted.
作者
黄伟丽
周明
刘涛
李冬双
孙成明
HUANG Wei-li;ZHOU Ming;LIU Tao(Wujin Agricultural Science and Technology Service Station,Changzhou,Jiangsu 213161;College of Agriculture,Yangzhou University,Yangzhou,Jiangsu 225009)
出处
《安徽农业科学》
CAS
2021年第6期19-22,共4页
Journal of Anhui Agricultural Sciences
基金
江苏高校优势学科建设工程资助项目(PAPD)。
关键词
图像处理
小麦
群体质量
病虫害
产量
Image processing
Wheat
Population quality
Disease and pest
Yield