基于图像处理的小麦白粉病病斑生长模型构建
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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.
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.
引文
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[2] 高雪.小麦白粉病综合治理研究进展[J].安徽农业科学,2014(24):8177-8179.
[3] 程玉柱,段一凡.堆叠自动编码器的金桂花朵图像分割方法[J].中国农机化学报,2018,39(10):77-80.Cheng Yuzhu,Duan Yifan.O.fragrans Luteus image segmentation method based on stacked autoencoder [J].Journal of Chinese Agricultural Mechanization,2018,39(10):77-80.
[4] 胡鑫,程玉柱,吴祎,等.长短期记忆网络的林火图像分割方法[J].中国农机化学报,2019,40(1):103-107.Hu Xin,Cheng Yuzhu,Wu Yi,et al.Forest fire image segmentation method based on long short-term memory network [J].Journal of Chinese Agricultural Mechanization,2019,40(1):103-107.
[5] 张建华,孔繁涛,吴建寨,等.基于改进VGG卷积神经网络的棉花病害识别模型[J].中国农业大学学报,2018,23(11):161-171.Zhang Jianhua,Kong Fantao,Wu Jianzhai,et al.Cotton disease identification model based on improved VGG convolution neural network [J].Journal of China Agricultural University,2018,23(11):161-171.
[6] 胡维炜,张武,刘连忠,等.利用图像处理技术计算大豆叶片相对病斑面积[J].江苏农业学报,2016,32(4):774-779.
[7] Bakhshipour A,Jafari A,Nassiri S M,et al.Weed segmentation using texture features extracted from wavelet sub-images [J].Biosystems Engineering,2017,157:1-12.
[8] Hlaing C S,Zaw S M M.Model-based statistical features for mobile phone image of tomato plant disease classification [C].2017 18th International Conference on Parallel and Distributed Computing,Applications and Technologies (PDCAT).IEEE,2017:223-229.
[9] Krithika P,Veni S.Leaf disease detection on cucumber leaves using multiclass support vector machine [C].2017 International Conference on Wireless Communications,Signal Processing and Networking (WiSPNET).IEEE,2017:1276-1281.
[10] 李井祝,王鹏,耿长兴.基于图像处理的黄瓜霜霉病情评估[J].中国农机化学报,2017,38(6):67-71.Li Jingzhu,Wang Peng,Geng Changxing.Disease assessment of cucumber downy mildew based on image processing [J].Journal of Chinese Agricultural Mechanization,2017,38(6):67-71.
[11] 刁智华.大田小麦叶部病害智能诊断系统研究与应用[D].北京:中国科学技术大学,2010.Diao Zhihua.Research and application of intelligent system of field wheat leaf disease [D].Beijing:Detection.University of Science and Technology of China,2010.
[12] 许迎春,刘英,范开欣,等.基于线扫描及其参数空间的圆形果实识别[J].中国农机化学报,2018,39(9):51-55.Xu Yingchun,Liu Ying,Fan Kaixin,et al.Round fruit recognition based on line scanning and it's parameter space [J].Journal of Chinese Agricultural Mechanization,2018,39(9):51-55.
[13] 李成文.植物病害流行时间模拟与预测系统Epitimulator开发及应用[D].重庆:西南大学,2007.Li Chengwen.Development and application of Epitimulator for plant disease epidemic time simulation and prediction system [D].Chongqing:Southwest University,2007.
[14] 计甜甜,李泽彬,赵江东,等.基于颜色差异性的植物叶片病害图像分割方法[J].湖北农业科学,2018,57(18):94-97.
[15] 汪澜,张慧,张海涛.结合新颜色空间与Otsu的分水岭彩色图像分割算法[J].计算机应用研究,2017,34(12):3873-3879.
[16] 孙明伟,赵统利,邵小斌,等.基于Richards方程的百合生长动态模拟分析[J].中国农业科技导报,2018,20(10):29-35.Sun Mingwei,Zhao Tongli,Shao Xiaobin,et al.Growth dynamic analysis of lily under richards equation [J].Journal of Agricultural Science and Technology,2018,20(10):29-35.
[17] 曾德斌,许江淳,陆万荣,等.基于机器视觉的无应激羊只体尺测量及体质量预估[J].中国农机化学报,2018,39(9):56-60.Zeng Debin,Xu Jiangchun,Lu Wangrong,et al.Body size measurement and body mass estimation of non-stressed sheep based on machine vision [J].Journal of Chinese Agricultural Mechanization,2018,39(9):56-60.