Improved fish swarm algorithm-based tomato seedling stage photosynthesis optimization regulation and control model, establishment method and application

A fish swarm algorithm and tomato seedling technology, applied in data processing applications, computing, instruments, etc., can solve the problems of different types of algorithm design parameters and different types of optimization condition functions.

Inactive Publication Date: 2016-03-23
NORTHWEST A & F UNIV
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Problems solved by technology

The above research provides a theoretical basis for the dynamic optimization of the light saturation point, but there ar

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  • Improved fish swarm algorithm-based tomato seedling stage photosynthesis optimization regulation and control model, establishment method and application
  • Improved fish swarm algorithm-based tomato seedling stage photosynthesis optimization regulation and control model, establishment method and application
  • Improved fish swarm algorithm-based tomato seedling stage photosynthesis optimization regulation and control model, establishment method and application

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Embodiment Construction

[0045] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0046] The establishment process of a kind of tomato seedling stage photosynthesis optimization control model based on improved fish swarm algorithm of the present invention is as follows:

[0047] 1 Materials and methods

[0048] 1.1 Test method

[0049] The test includes preliminary test and verification test. The tomato variety to be tested is "burr 802". Tomato seedlings with 5 leaves and 1 heart with uniform growth are selected and planted in plastic pots filled with nutrient soil. For mellow soil, during the test period, fertilization, watering and other management were carried out according to the routine, and no pesticides and hormones were sprayed.

[0050] The experiment used the Li-6400XT portable photosynthetic instrument produced by LI-COR Company, which can measure the net photosynthetic rate while setting and adjusting the small...

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Abstract

The invention relates to an improved fish swarm algorithm-based tomato seedling photosynthesis optimization regulation and control model. According to the model, with temperature T adopted as an independent variable and photon flux density (PFD) corresponding to a light saturation point adopted as a dependent variable, a model formula is put forward. The invention also discloses an establishment method and application of the model. According to the establishment method of the model, multidimensional data are obtained through utilizing a photosynthetic rate double-factor nested test; a temperature and photon flux density coupled photosynthetic rate multivariate nonlinear regression model is constructed; an improved fish swarm algorithm-based photosynthetic rate model optimization method is designed, so that a light saturation point under different temperature conditions is obtained; and the tomato photosynthetic optimization regulation and control model with the light saturation point adopted as a target value is established. As indicated by the result of a model verification test, the light saturation point under different temperature conditions can be dynamically acquired; the determination coefficient of the actual measurement value and calculated value of the light saturation point is 0.967, and the maximum relative error of the actual measurement value and calculated value of the light saturation point is smaller than 2%, and the regulation and control model has high accuracy and has great significance for improving the regulation and control efficiency of light environment of facilities.

Description

technical field [0001] The invention belongs to the technical field of intelligent agriculture, and in particular relates to an improved fish swarm algorithm-based optimal control model for photosynthesis in tomato seedling stage and its establishment and application. Background technique [0002] Tomato is one of the main crops cultivated in greenhouses in the world, with a cultivation area of ​​4.5034 million hectares 2 , and the photosynthetic rate directly affects the yield and quality of tomato. Studies have shown that the photosynthetic rate is affected by environmental factors such as temperature, carbon dioxide concentration, and photon flux density. As a light-loving crop, the photosynthetic rate of tomato has received special attention. Studies by Hu Wenhai et al. have shown that the photosynthetic rate of tomato seedlings will decrease under low temperature and weak light; research results by Zhang Fucun et al. have shown that high temperature stress will also re...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/067G06Q50/02
Inventor 胡瑾何东健张海辉闫珂辛萍萍陶彦蓉王智永张斯威张珍
Owner NORTHWEST A & F UNIV
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