Modeling method for cucumber GA-RBF photosynthetic rate prediction model integrated with stomatal conductance

A technology for photosynthetic rate prediction and stomatal conductance, which is applied in the field of intelligent agriculture, can solve time-consuming and labor-intensive problems, and achieve the effect of improving photosynthetic capacity

Active Publication Date: 2016-06-15
NORTHWEST A & F UNIV
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Problems solved by technology

The value of the spread of the diffusion speed of the radial basis function directly affects the effect of the RBF neural network. Usu...

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  • Modeling method for cucumber GA-RBF photosynthetic rate prediction model integrated with stomatal conductance
  • Modeling method for cucumber GA-RBF photosynthetic rate prediction model integrated with stomatal conductance
  • Modeling method for cucumber GA-RBF photosynthetic rate prediction model integrated with stomatal conductance

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Embodiment Construction

[0027] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0028] This paper invents a genetic algorithm-based optimized RBF algorithm and combines stomatal conductance to construct a photosynthetic rate prediction model for cucumber flowering and fruiting period. The establishment process is as follows:

[0029] 1. Test materials and methods

[0030] This experiment was carried out in the experimental base of Northwest Agriculture and Forestry University from July to August 2015. The cucumber variety used for the experiment was "Changchun Mici", and the cucumber was in the flowering and fruiting period. The testing time is 8:00-10:30 and 16:00-18:30, no testing will be conducted on cloudy days, no pesticides will be used during the experiment, and normal field management will be carried out.

[0031] The Li-6400XT portable photosynthetic instrument produced by American LI-COR Company was used to measu...

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Abstract

The invention provides a modeling method for a cucumber GA-RBF photosynthetic rate prediction model integrated with stomatal conductance. The method comprises the steps: utilizing a multi-factor nested test to obtain the experimental data taking the stomatal conductance, the temperature, the CO2 concentration, the illumination intensity and the relative humidity as input and taking the apparent photosynthesis rate as output; utilizing a genetic algorithm to perform initialization of population; according to the given initial range of the spread parameters, calculating a fitness function; and through selection, intersection and variation, finding out the optimal spread parameter in an RBF neural network, and constructing a cucumber GA-RBF photosynthetic rate prediction model integrated with stomatal conductance. The test result shows that the predicted value and actual measurement value determination coefficient is 0.99878; the linear gradient is 0.99781; the error is less than 6%; compared with the photosynthetic rate prediction model which does not use the genetic algorithm to optimize the RBF algorithm and does not integrated with stomatal conductance and the cucumber GA-RBF photosynthetic rate prediction model which is not integrated with stomatal conductance, the training result has better prediction effect.

Description

technical field [0001] The invention belongs to the technical field of intelligent agriculture, and in particular relates to a cucumber GA-RBF photosynthetic rate prediction model modeling method integrated with stomatal conductance. Background technique [0002] Cucumber is a light-loving and shade-tolerant crop. Insufficient light during the flowering and fruiting period will result in low photosynthetic efficiency of the leaves, especially the weak light sensitivity of the lower leaves, which will cause the melons to melt and reduce the yield. Under sufficient light intensity, the photosynthetic rate of cucumber is high, the differentiation ability of female flowers is strengthened, and the quality and yield of fruits are improved. Photosynthesis is the only biological way to capture light energy. Photosynthesis of plants converts carbon dioxide and water into carbohydrates and produces oxygen. The energy stored in carbohydrates is used to store metabolic activities in pl...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06N3/08G06N3/12
CPCG06N3/086G06N3/088G06N3/126G06Q10/04G06Q50/02
Inventor 张海辉张珍张斯威王智永辛萍萍陶彦蓉胡瑾
Owner NORTHWEST A & F UNIV
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