Spectrum-based method for quantitatively detecting diseases on cucumber leaf

In plant disease diagnosis, quantitatively detecting the distribution and severity of disease on plant leaf is a fundamental task to design solution and strategy. In this paper, a spectrum based algorithm for leaf disease diagnosis was presented and discussed. This method can locate the disease distribution on leaves and denote the disease signal strength quantitatively by solving linear optimization equation which characterized the categories of the multispectral image pixels. Two typical diseases on cucumber leaves are analyzed and it showed the proposed method can detect the disease area very well. Finally, the properties of the algorithm are also discussed.