Method for identifying pear rust disease spots on leaf of pear tree
An identification method and leaf technology, applied in the direction of color/spectral characteristic measurement, etc., can solve problems such as external interference, achieve high accuracy, timely and effective prevention and control, and simple operation
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[0039] Randomly select a pear tree leaf, scan the leaf with a full band of 450-900nm (manufacturer: Specim, Finland, model: near-infrared spectral imager imspector V10E) Select three points on the region and the normal leaf region to obtain their spectral curves, such as figure 2 As shown, the slopes of the spectral curves between 565nm and 623nm between rust spots and lesion spots except rust spots, and normal leaves are significantly different.
[0040] Using the above-mentioned full-band scanning results, select multiple points in the lesion area and normal leaf area to obtain their first-order derivative spectral curves, and select a differential window scale of 50nm, such as image 3 As shown, the difference between the first-order derivative spectral values of lesion and normal leaves at 550nm, 575nm and 655nm is the most obvious, so the first-order derivative spectral images of pear tree leaves at these three wavelengths can be used as characteristic values.
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