摘要
为更好的了解小麦白粉病发育周期内的生长情况,利用图像处理技术分割小麦白粉病完整生长周期单个病斑图像,并提取单个病斑面积特征在整个生长周期内的变化规律,采用Logistic,Gompertz和Richards3种生长模型对病斑面积变化规律进行拟合和分析。结果表明:单个病斑面积生长曲线呈现‘S’型增长曲线,三种生长模型拟合面积生长曲线效果良好,其中Richards、Logistic生长模型拟合效果好。
In order to grasp the growth of wheat powdery mildew during the development cycle, image processing technique was used to segment the single lesion image of wheat powdery mildew in the whole growth cycle, and the variation of a single lesion area characteristic in the whole growth cycle was extracted. The changes of lesion area were studied by Logistic, Gompertz and Richards growth models, then, the fitting and analysis were carried out. The results showed that the growth curve of single lesion area showed ‘S’ growth curve, and the effect of fitting area growth curve by three growth models was well. The Richards and Logistic growth models had the best fitting effect.
作者
刁智华
袁万宾
罗雅雯
毋媛媛
Diao Zhihua;Yuan Wanbin;Luo Yawen;Wu Yuanyuan(School of Electric and Information Engineering ,Zhengzhou University of Light Industry ,Zhengzhou, 450002,China)
出处
《中国农机化学报》
北大核心
2019年第6期158-161,共4页
Journal of Chinese Agricultural Mechanization
基金
河南省科技厅科技攻关项目(162102110118)
河南省高等学校青年骨干教师培养计划(2016GGJS—088)
关键词
图像处理
小麦白粉病
生长模型
精准农业
image processing
wheat powdery mildew
growth model
precision agriculture
