A kind of test and analysis method of citrus tree red spider pest stress
A citrus red spider, testing and analysis technology, applied in the field of non-destructive detection of plant biochemical components spectrum, can solve the problem of no citrus red spider pest stress prediction application research and other problems
Active Publication Date: 2015-07-29
SOUTH CHINA AGRI UNIV
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Problems solved by technology
At present, hyperspectral technology has been widely used in various aspects of agricultural research. Although there have been researches on the prediction of plant chlorophyll content by hyperspectral technology, the models built have certain limitations in the scope of application, and there is no specific application of hyperspectral technology in the field of agriculture. Applied research on the prediction of citrus spider mite pest stress
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Embodiment 1
[0050] like figure 1 As shown, the test analysis method of the present embodiment includes the following steps:
[0051] 1) Selection of citrus leaf samples
[0052] 20 samples of diseased leaves (citrus spider mites leaves) and 20 samples of healthy leaves were taken from each tree of the 5 red spider citrus trees fixed in the orchard. The leaf samples of each tree were placed in a transparent fresh-keeping bag and sealed. And mark the corresponding experimental tree number on each fresh-keeping bag. Before the experiment, carefully clean the surface of the leaf sample, and mark the leaf sample type and experimental number on the back of each leaf sample, with A for healthy leaf samples and B for Samples of infected leaves were numbered from 01 to 20 in the experiment number.
[0053] 2) Collection of hyperspectral images
[0054] like figure 2 As shown, the hyperspectral image acquisition system includes a CCD digital camera 1, an optical path member 2, a lens 3, a halo...
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The invention discloses a test and analysis method of red spider insect pest coercion conditions of orange trees. The method comprises the following steps of: (1) selecting a plurality of healthy orange tree leaf samples and orange tree red spider leaf samples; (2) collecting hyperspectral images of the orange tree leaf samples; (3) measuring the chlorophyll and carotenoid contents of the orange tree leaf samples; (4) pre-treating the collected hyperspectral images; (5) further denoising the pretreated hyperspectral images; (6) extracting the characteristic wave bands of the denoised hyperspectral images; (7) creating a detecting model through the extracted characteristic wave bands, picking out the optimal wave band combination by gradual regression analysis, and determining the quantitative relation of the optimal wave band combination and the chlorophyll and carotenoid contents; and (8) detecting the chlorophyll and carotenoid contents of the orange tree leaves through the created model so as to predict the red spider insect pest coercion conditions of the orange tree. The test and analysis method disclosed by the invention is used for predicting the red spider insect pest coercion conditions of the orange tree by creating the model and has the advantages of being unartificial and harmless.
Description
technical field [0001] The invention relates to a method for detecting plant pests of citrus red spiders, in particular to a method for testing and analyzing the stress situation of citrus red spiders, belonging to the field of nondestructive detection of plant biochemical components. Background technique [0002] my country is one of the important origins of citrus, rich in citrus resources, widely planted in provinces from 20° to 33° north latitude, with a wide variety of fine varieties. Citrus spider mites are a very serious mite on citrus, mainly distributed in Guangdong, Zhejiang, Fujian and other regions. The leaves that are persecuted by red spiders will have certain changes in the physical characteristics and physiological structure of the leaves. At this stage, the detection of citrus red spiders mainly relies on manual and simple tools, or uses biological destructive methods such as biochemical detection. [0003] However, the above technologies all have the disa...
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IPC IPC(8): G01N21/25G01N21/31
Inventor 李震洪添胜李楠王建邓小玲郑建宝林瀚
Owner SOUTH CHINA AGRI UNIV