Imaging processing technique to measure plant infection severity

Shengpan Zhu; Huirong Xu; Yibin Ying; Huanyu Jiang

doi:10.1117/12.686521

23 October 2006 Imaging processing technique to measure plant infection severity

Shengpan Zhu, Huirong Xu, Yibin Ying, Huanyu Jiang

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 638116 (2006) https://doi.org/10.1117/12.686521
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

There is increase pressure to reduce the use of pesticides in modern crop production to decrease the environment impact of current practice and to lower production costs. It is therefore imperative that sprays are only applied when and where needed. However it is difficult to measure the severity of plant disease as a result of the irregular leaf and disease spots shapes. In this research, a pixel method is proposed, and the severity of plant disease was graded accuracy by using technology of image analysis, and then the method was compared with traditional method for measured of plant infection severity. The leaves images were acquired by a CCD camera and transferred to a host computer and were stored as files in TIFF format. From the experimental results, it shows that the image method has an acceptable accuracy; and image processing is a rapid and non-destructive way to gain the plant infection severity.

Citation Download Citation

Shengpan Zhu, Huirong Xu, Yibin Ying, and Huanyu Jiang "Imaging processing technique to measure plant infection severity", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 638116 (23 October 2006); https://doi.org/10.1117/12.686521

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