A Method for Predicting Photosynthetic Dry Matter Yield of Greenhouse Crops
A technology of photosynthesis and dry matter, applied in the direction of non-electric variable control, simultaneous control of multiple variables, instruments, etc., can solve the problems of increased environmental control costs, neglect of interaction, and difficulty in achieving the best environmental indicators of crops, and achieve management Improvement, optimization of greenhouse environmental control management, and accurate prediction of crop yield
Active Publication Date: 2022-05-10
康子秋
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This method is based on subjective judgment. The lack of quantitative indicators is not conducive to the expansion of applications. The interaction between various environmental elements is often ignored, and it is often difficult to achieve the best environmental indicators required by crops, resulting in low yields and increased environmental control costs.
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[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0040] see Figure 1-3 , taking a prediction of the synthetic quantity of photosynthetic dry matter of greenhouse tomato as an example, carry out the prediction of the synthetic quantity P of crop photosynthetic dry matter according to the steps of the present invention:
[0041] Step 1. Acquisition of greenhouse environmental parameters and data processing:
[0042] The environmental parameters inside and outside the greenhouse are collected to the server th...
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The invention discloses a method for predicting photosynthetic dry matter output of greenhouse crops, comprising the following steps: Step 1, greenhouse environmental parameter collection and data processing; Step 2, establishing crop models: obtaining crop leaf area index LAI; obtaining plant canopy Extinction coefficient k; obtain the light intensity Ix above the crop canopy; obtain the light absorption of the crop canopy I abs ; From the amount of light absorbed and the photosynthetic efficiency coefficient, the dry matter synthesis amount P of photosynthesis per unit time can be obtained. The invention relates to the technical field of intelligent greenhouse crop production. The method of predicting the photosynthetic dry matter output of greenhouse crops solves the problem that the environmental control of smart greenhouses in China at the present stage is mainly through the technical personnel setting corresponding parameters through the greenhouse environmental control computer based on experience or rules to achieve the predetermined temperature, light, CO2 , and other environmental factors, affecting crop yields and increasing environmental control costs.
Description
technical field [0001] The invention relates to the technical field of intelligent greenhouse crop production, in particular to a method for predicting photosynthetic dry matter output of greenhouse crops. Background technique [0002] Compared with traditional greenhouses, smart greenhouses can more effectively control the environment inside the greenhouse, improve labor efficiency, and increase crop yield per unit area. Western developed countries represented by the Netherlands have strong technical reserves and practical experience in the field of intelligent greenhouses. In recent years, with the development of China's economy, my country has introduced a large number of foreign advanced multi-span intelligent greenhouses since the 1990s. However, practice has proved that under the same hardware facilities, the production efficiency of China's smart greenhouses is much lower than that of foreign equivalent greenhouses. The lack of corresponding intelligent greenhouse ma...
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IPC IPC(8): G05D27/02
CPCG05D27/02
Inventor 康子秋
Owner 康子秋