Colored rice intelligent seedling raising greenhouse system and method

By introducing shading, ventilation, and humidity control mechanisms into the greenhouse system and using deep learning models for data analysis, the problem of inaccurate shading and ventilation control in existing greenhouse systems has been solved, achieving precise control of the colored rice seedling environment and optimization of energy consumption.

CN120660563BActive Publication Date: 2026-05-01FOOD CROPS RES INST YUNNAN ACAD OF AGRI SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FOOD CROPS RES INST YUNNAN ACAD OF AGRI SCI
Filing Date
2025-08-11
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing intelligent greenhouse systems cannot comprehensively consider shading, ventilation, and outdoor environmental parameters, resulting in inaccurate control of light intensity, temperature, and humidity, and an inability to effectively couple changes in the indoor and outdoor environments.

Method used

A smart seedling greenhouse system for colored rice was designed. The greenhouse is divided into multiple planting units using partition components. Each unit is equipped with shading, ventilation, humidification, dehumidification and temperature regulation mechanisms. The system is controlled by a central controller and uses a deep learning model for data analysis and adjustment to achieve precise environmental control.

Benefits of technology

It achieves precise control of shading, ventilation and humidity, reduces energy consumption, improves the stability of the seedling environment and yield, and ensures the stability of anthocyanin content.

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Abstract

The application discloses a kind of colored rice intelligent seedling greenhouse method, belong to greenhouse system and method technical field, the steps of control method include: collecting indoor and outdoor relative humidity, temperature, light intensity, outdoor wind speed, sunshade degree of sunshade mechanism, opening of ventilation mechanism, brightness of LED light supplement;Based on deep learning model, calculate sunshade temperature compensation;According to temperature control requirement, priority control ventilation window opening, and based on target temperature, humidity is regulated based on ventilation window opening.The application has the advantages that: the complex coupling influence relationship of sunshade mechanism, ventilation mechanism, outdoor environment to indoor temperature, relative humidity, light intensity is fully considered, the regulation of indoor temperature and humidity is more accurate, and the regulation of temperature and humidity is fully utilized by ventilation mechanism, and energy consumption is low.
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Citation Information

Patent Citations

  • Multi-factor coordinated multi-target control method for greenhouse environment

    CN110531807A

  • Agricultural greenhouse having multiple planting environments

    CN111837734A

  • Sunshade device in fruit seedling raising greenhouse

    CN216775639U