Fish swarm algorithm-based cucumber seedling stage carbon dioxide optimization regulation and control model, establishment method and application thereof

Abstract

The invention relates to a fish swarm algorithm-based cucumber seedling stage carbon dioxide optimization regulation and control model. A model formula is put forwards with temperature T and photon flux density PFD adopted as independent variables and with carbon dioxide concentration corresponding to a maximum photosynthetic rate adopted as a dependent variable; the establishment and application of the model are also disclosed. Multi-dimensional data are acquired by using a photosynthetic rate multiple-factor nested experiment; a photosynthetic rate multivariable nonlinear regression model is constructed; a fish swarm algorithm-based carbon dioxide model optimization method is designed; carbon dioxide saturation points under different temperature and different photon flux density are obtained; and the cucumber carbon dioxide optimization regulation and control model with the carbon dioxide saturation points adopted as target values can be built. As indicated by model verification test results, the fish swarm algorithm-based cucumber seedling stage carbon dioxide optimization regulation and control model of the invention can dynamically obtain the carbon dioxide saturation points under different temperature and different photon flux density, the determination coefficient of the actually-measure values and calculated values of the carbon dioxide saturation points is 0.98, and the maximum relative error of the actually-measure values and calculated values of the carbon dioxide saturation points is lower than 3%, and the model has high precision and is of great significance for the improvement of the carbon dioxide environmental regulation and control efficiency of facilities.

Description

technical field [0001] The invention belongs to the technical field of intelligent agriculture, and in particular relates to a fish swarm algorithm-based carbon dioxide optimization control model of cucumber seedling stage and its establishment and application. Background technique [0002] Cucumber is one of the main crops cultivated in greenhouses in the world, with a cultivation area of ​​3.5034 million hm 2 , and the photosynthetic rate directly affects the yield and quality of cucumber. CO 2 It is the main raw material for the accumulation of photosynthetic substances in plants, and it plays a very important role in regulating the growth and development of crops. It is one of the indispensable factors in the process of plant growth. It is called "gas fertilizer" by people, and its concentration is insufficient. Or too high has an important impact on the growth rate, yield and quality of crops. If CO 2 Insufficient supply can directly affect the photosynthetic effect...

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Problems solved by technology

The above research provides a theoretical basis for establishing a precise control model of cucumber seedling carbon dioxide based on the fish swarm algorithm, but there are still problems in the algorithm design, such as parameter types, search conditions, and different function types.

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