High-spectrum comprehensive analysis early detection method for Bursaphelenchus xylophilus

Abstract

The invention relates to a high-spectrum comprehensive analysis early detection method for Bursaphelenchus xylophilus. In the outbreak season of the Bursaphelenchus xylophilus, a pine needle sample is picked up at regular intervals and sealed by a freshness protection package, then spectrum data of the sample is determined by a field spectrum radiometer under an artificial light source in a darkroom; and a red edge, a green peak reflection height, a red light absorption depth, a red-green index, a light green index and a fractal dimension are calculated, and then the values are comprehensively analyzed to obtain a detection result. The method has the advantages that: the spectrum characteristics of the pine changed by a disease are detected from the fine characteristic to the integral characteristic through the approximately continuous high-spectrum data of visible light, near-infrared light and part of intermediate infrared light, and microscopy and macroscopy are integrated; and the various characteristic indexes are comprehensively applied, and the relationships among the characteristics are considered adequately, wherein the red-green index and the light green index are promoted for the first time in the invention, and reflect the photosynthesis and the water content of plants respectively.

Description

【Technical field】 [0001] The invention belongs to the application field of remote sensing technology, in particular to an early detection method for pine wood nematode disease based on comprehensive analysis of ground non-imaging hyperspectral data. 【Background technique】 [0002] Pine wood nematode (bursaphelenchus xylophilus) has the metaphor of "cancer" of pine trees, and is currently distributed in most southern provinces such as Jiangsu, Anhui, Zhejiang, Guangdong, and Hubei in my country. The main hosts of pine wood nematode disease include masson pine (P.massoniana), Yunnan pine (P.yunnanensis), Simao pine (P.kesiya), European black pine (P.nigra), taeda pine (P.taeda), wetland 80 species of pine plants such as pine (P.elliottii) and 27 species of non-pine plants such as cedar (Cedrus deodara), balsam pine (Abies balsamea), black spruce (Picea mariana), and pine beetle (Monochamus alternatus ) are the main vector insects of the disease. Since the disease was introdu...

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Problems solved by technology

[0004] The existing technology and research on hyperspectral detection of plant diseases and insect pests have the following deficiencies: first, only a few isolated band data are used, and the research on the changes of spectral characteristics before and after plant disease is not comprehensive enough; second, some parameters or features are applied in isolation, There is less consideration of their interrelationships; the third is the change of the shape of the curve, lacking an overall measurement parameter

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