Mulberry pyralid larva based on visible and near-infrared hyperspectral imaging and rapid recognition method for damage of mulberry pyralid larva to mulberry leaves
A near-infrared hyperspectral and identification method technology, applied in the field of rapid identification of mulberry borer larvae and their damage to mulberry leaves
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[0031] The present invention will be described in detail below in conjunction with the embodiments and accompanying drawings, but the present invention is not limited thereto.
[0032] In this embodiment, the rapid identification method of mulberry borer larvae and their damage to mulberry leaves based on visible light and near-infrared hyperspectral imaging includes the following steps:
[0033](1) Sample preparation: Pick mulberry leaves with the same leaf position, same age, similar growth, and similar size from local mulberry gardens, and then select leaves without other defects except for damage by mulberry borer larvae. Three kinds of leaves (120 leaves), healthy leaves (35 leaves), leaves with larval damage (70 leaves) and leaves with larvae (15 leaves) were obtained.
[0034] (2) Data acquisition: The hyperspectral imaging system consists of two parts. One is the spectral acquisition unit, which is housed in a large black box. The spectral acquisition unit has two ca...
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