Optimal light quality and photon flux density-based light requirement real-time dynamic obtaining method

Abstract

The invention discloses an optimal light quality and photon flux density-based light requirement real-time dynamic obtaining method. The method comprises the steps of firstly performing modeling based on a photosynthetic rate of a GA-GRNN, and optimizing an expansion speed of a GRNN by utilizing a GA algorithm, wherein related analysis of a predicted value and an actually measured value of a photosynthetic rate prediction model of the GA-GRNN is remarkably superior to that of a GRNN model; and then based on the photosynthetic rate prediction model of the GA-GRNN, performing photosynthetic rate optimization by using a quantum genetic algorithm to obtain corresponding optimal light quality and photon flux density, and building a light environment control target value model by adopting multiple linear regression fitting, wherein determination coefficients of optimal light quality model and photon flux density model are 0.992 and 0.9893 respectively. The photosynthetic rate at each temperature is taken as the actually measured value, and the photosynthetic rate corresponding to the optimal light quality and the optimal photon flux density is taken as the predicted value; a related analysis method is adopted; the determination coefficient is 0.936, the fitting straight slope is 1.012, and the intercept is 0.054; and a result shows that the built coupled light quality and photon flux density control target value model is good in performance.

Description

technical field [0001] The invention belongs to the technical field of modern agricultural intelligent supplementary light, in particular to a real-time and dynamic acquisition method of light demand based on optimal light quality and photon flux density. Background technique [0002] Light provides energy for photosynthesis of crops, and photon flux density and light quality are two main aspects that affect the instantaneous photosynthesis rate of crops. Among them, the photon flux density directly determines the total amount of instantaneous light quanta participating in crop photosynthesis, and directly affects the instantaneous photosynthesis rate of crops; the light quality affects the different physiological effects of crops on crop leaf area expansion and dry matter by adjusting the ratio of red and blue light. Accumulation, increased stem diameter, and chlorophyll content indirectly affect photosynthetic rate. Therefore, light environment regulation not only provide...

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Problems solved by technology

[0003] The traditional regulation of light environment is threshold regulation, which cannot meet the requirement of changing the amount of regulation according to changes in the external environment, and does not consider the actual needs of crops.

Hu Jin et al. considered the difference in light intensity required by crops at different temperatures on the basis of traditional light environment regulation, and used artificial intelligence algorithms to construct a light environment regulation model, which considered the optimal photon flux at different temperatures. Differences in light density, but did not take into account the impact of light quality on crop photosynthesis

In terms of light quality regulation, the existing research is mainly quantitative regulation in stages. This regulation method is aimed at the differences in light quality requirements of different growth stages of crops, but does not take into account the relationship between temperature, light quality, and photon flux density. Coupling relationship to realize real-time dynamic regulation

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