Method for constructing greenhouse carbon dioxide concentration prediction model in sunny days of winter

Abstract

The invention relates to the field of accurate farming management, and discloses a method for constructing a greenhouse carbon dioxide concentration prediction model in the sunny days of the winter. The temperature and CO2 concentration data of a greenhouse are acquired at the same time interval so as to acquire the time sequence data of the temperature and the CO2 concentration; the time sequence data are segmented and a part of data RA are randomly selected out of the time sequence data for modeling, and the remaining data RB are used for detecting the model; data sets A and B are constructed by using a sliding time window according to RA and RB; a temperature dynamic change prediction model M1 is constructed according to A; a crop aerobic respiration and soil respiration carbon dioxide release rate prediction model M2 is constructed according to A and M1; a crop net photosynthesis carbon dioxide consumption rate prediction model M3 is constructed according to A and M2; and the greenhouse carbon dioxide concentration prediction model M4 in the sunny days of the winter is constructed according to M1, M2 and M3. According to the method for constructing the greenhouse carbon dioxide concentration prediction model in the sunny days of the winter according to the environmental meteorological factors only, the model universality is great and the prediction accuracy is high.

Description

technical field [0001] The invention relates to the field of precise farming management, in particular to a method for constructing a greenhouse carbon dioxide concentration prediction model in winter sunny days. Background technique [0002] carbon dioxide (CO 2 ) is an important raw material for plant photosynthesis. Maintaining a high carbon dioxide concentration, when the light increases, the photosynthetic rate of plants will increase, thereby generating more photosynthetic products, promoting crop production and improving product quality. Under the light, crops continue to carry out photosynthesis and consume a large amount of carbon dioxide. In open-air production, the surrounding air compensates for the carbon dioxide consumed by the crops, thereby maintaining a stable concentration. However, during the planting process of greenhouse crops in winter, due to the cold weather, the greenhouse needs to be kept warm, and the time for air release at noon is short, and s...

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Problems solved by technology

However, if the crops grown in the greenhouse are changed, or the planting density of cucumbers is different, the predicted value of the model will be quite different from the actual situation

In addition, the model does not consider meteorological factors, which affects the prediction accuracy of the model, and the model only considers the carbon dioxide released by the decomposition of soil organic matter as the source of greenhouse carbon dioxide, which obviously limits the application of the model in the application of carbon dioxide gas fertilizer in the greenhouse

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