Method for detecting harm of Pantana phyllostachysae Chao by coupling multiple representations of leaves

Abstract

The invention puts forward a method for detecting harm of Pantana phyllostachysae Chao by coupling multiple representations of leaves, comprising: a step 1 of defining pest harm grades of Phyllostachys pubescent leaves according to a <forestry pest occurrence and disaster standard> in combination with an expert consultation method; a step 2 of respectively measuring an LL (Leaf Loss), an RCC (Relative Chlorophyll Content), an RWC (Relative Water Content) and a characteristic wavelength spectral value of a plurality of Phyllostachys pubescent leaves; a step 3 of building a random forest model by using the LL, the RCC, the RWC and the characteristic wavelength spectral value of the Phyllostachys pubescent leaf as independent variables and using the pest harm grade as a dependent variable; and a step 4 of acquiring the LL, the RCC, the RWC and the characteristic wavelength spectral value of a Phyllostachys pubescent leaf outside the measuring range, plugging the acquired values into the random forest model to obtain the corresponding pest harm grade of the Phyllostachys pubescent leaf. The method of the invention has the advantages of high detection efficiency, high accuracy, and capacity for quickly, easily and accurately discriminating the harm grade of the Pantana phyllostachysae Chao of the Phyllostachys pubescent leaf.

Description

technical field [0001] The invention belongs to the fields of forestry, ecology, geography and detection of diseases and insect pests, and in particular relates to a method for detecting damage of Phyllostachys spp. Background technique [0002] my country is the largest bamboo-producing country in the world, ranking first in the world in terms of the number of bamboo species resources, the stock of bamboo forests, and the types and quantities of bamboo products. The results of the eighth national forest resource inventory show that the existing bamboo forest area in my country exceeds 6.01 million hm 2 , As of the end of 2015, the output value of my country's bamboo industry has reached 192.3 billion yuan. In recent years, the enthusiasm of forestry departments, enterprises and forest farmers to manage bamboo forests has been high. Industrialized management of bamboo forests has emerged in Fujian, Zhejiang, Hunan and other places. An efficient and intensive bamboo industry...

AI Technical Summary

Problems solved by technology

[0005] Traditional monitoring methods not only have high time and economic costs, but also have a large lag in the obtained data, and the collected information is often not comprehensive enough to achieve large-scale macro dynamic monitoring. In addition, it cannot clarify the intrusion of specific ecosystems, and the invasion relationship with catastrophe

Obviously, traditional monitoring methods can no longer meet the needs of modern digital forestry management and the implementation of sustainable forest development strategies. Therefore, developing a more scientific monitoring system and building a more practical pest early warning mechanism has become an urgent task in forest pest control. Task

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