Method for detecting canopy moisture content of leaf vegetable crops

A technology for crop canopy and leafy vegetables, which is applied in measurement devices, analysis materials, material analysis by optical means, etc., can solve the problems of incomplete image feature extraction and unrepresentative feature wavelength extraction, and achieve objective detection results. , the effect of improving the detection accuracy

Inactive Publication Date: 2015-07-01
JIANGSU UNIV
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Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, the present invention provides a method for detecting the moisture content of the canopy of leafy vegetable crops, which uses multiple chemometric algorithms and multiple image processing methods to overcome

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  • Method for detecting canopy moisture content of leaf vegetable crops
  • Method for detecting canopy moisture content of leaf vegetable crops
  • Method for detecting canopy moisture content of leaf vegetable crops

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0027] Leafy vegetable crops such as lettuce, Chinese cabbage, cabbage, rape, and spinach have similar properties, and their canopy water content can be detected by the method of the present invention. The present embodiment takes the detection of lettuce canopy water content as an example to illustrate that leafy vegetables Method for detecting moisture content of crop canopy.

[0028] The detection method of the canopy moisture content of lettuce is:

[0029] The nutrient solution was managed according to Yamazaki formula, and the samples were divided into 4 levels for treatment, namely severe drought, moderate drought, mild drought and normal, and the irrigation amount was 25%, 50% and 75% of the maximum water holding capacity of the substrate respectively. and 100%, ...

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Abstract

The invention provides a method for detecting canopy moisture content of leaf vegetable crops. The method comprises the following steps: filtering spectrum, performing gradient extraction on characteristic wavelength by adopting a backward interval partial least square algorithm, a genetic algorithm and a continuous projection algorithm; performing wavelet denoising on a front view image and a top view image, extracting canopy projection area, canopy perimeter and plant height as growth characteristics of the leaf vegetable crops, extracting color component mean value of each of RGB space and HSI space as the color characteristic, extracting entropy, secondary moment, contrast ratio and homogeneity in six color co-occurrence matrixes constructed by the RGB space and the HSI space; and reducing dimension of the characteristic wavelength and the image characteristic by using kernel principle component analysis, establishing a detection model of the canopy moisture content of the leaf vegetable crops by using an extreme learning machine algorithm. Through the adoption of a plurality of chemometrics algorithms and image processing methods, the internal and external information of the canopy of the leaf vegetable crops are fully acquired, and the nondestructive detection of the canopy moisture content of the leaf vegetable crops is realized.

Description

technical field [0001] The invention belongs to the field of crop water content detection, in particular to a method for detecting the water content of the canopy of leafy vegetable crops. Background technique [0002] The agricultural proverb says, "Water is responsible for harvesting or not, and more or less is due to fertilizer". This sentence fully understands the important role of water in agricultural production. Leafy vegetables are mostly shallow-rooted crops, which are sensitive to water, and leafy vegetables Crop plants have many leaves, large leaf area, large transpiration, and high water consumption. When water stress occurs, the photochemical activity of pigments in the body is weakened, which hinders the absorption of nutrients and limits the transportation of nutrients from roots to leaves. [0003] Traditional crop canopy moisture content detection uses the dry-wet weight method, but this method is a destructive detection method that needs to destroy samples;...

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Application Information

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IPC IPC(8): G01N21/359
Inventor 毛罕平高洪燕张晓东李青林孙俊刘洋
Owner JIANGSU UNIV
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