Intelligent control method and system for agricultural planting greenhouse

Greenhouse data is obtained through sensors, and control and discrimination parameters are determined based on crop types and environmental data, which realizes intelligent control of greenhouses, solving the problem that intelligent control cannot be performed based on light, temperature and crop health status in the existing technology, and improving the accuracy and effectiveness of control.

CN120371064APending Publication Date: 2025-07-25INST OF BIOTECHNOLOGY GANSU ACAD OF AGRI SCI
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Patent Information

Application Number
CN202510511961.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-23
Publication Date
2025-07-25

AI Technical Summary

Technical Problem

The prior art cannot intelligently control greenhouses based on light conditions, temperature conditions and crop health conditions.

Method used

The environmental data and crop data in the greenhouse are obtained through sensors, the first control judgment parameters are determined based on crop type and light data, the second control judgment parameters are determined based on crop type and temperature data, and the third control judgment parameters are determined based on environmental data and crop data, and a comprehensive judgment is made as to whether to control the greenhouse.

Benefits of technology

It improves the accuracy and effectiveness of intelligent control of greenhouses, ensures that light, temperature and disinfection measures meet crop growth needs, and reduces energy waste and disease risks.

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Abstract

The invention provides an intelligent control method and system for an agricultural planting greenhouse, and relates to the technical field of intelligent control of the greenhouse, and the method comprises the steps: obtaining environment data in the greenhouse at a plurality of moments in a control period through sensors disposed at sampling sites, the environment data comprises temperature data, humidity data and illumination data; obtaining types and crop data of crops planted in the greenhouse; determining a first control discrimination parameter according to the crop type and the illumination data; determining a second control discrimination parameter according to the crop variety and the temperature data; determining a third control discrimination parameter according to the environment data and the crop data; and determining whether to control the greenhouse or not according to the first control discrimination parameter, the second control discrimination parameter and the third control discrimination parameter. According to the invention, the accuracy and effectiveness of intelligent control of the greenhouse can be improved.
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