Intelligent greenhouse crop growth state monitoring and management system based on Internet of Things

Through the intelligent greenhouse crop growth status monitoring and management system based on the Internet of Things, the greenhouse environmental parameters are dynamically adjusted, which solves the problem that the existing system cannot fully consider multi-dimensional physiological data and real-time growth needs, and achieves precise regulation and efficient growth.

CN119721508AActive Publication Date: 2025-03-28山东省农业技术推广中心(山东省农业农村发展研究中心)
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Patent Information

Application Number
CN202510229027.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-28
Publication Date
2025-03-28
Estimated Expiration
2045-02-28

AI Technical Summary

Technical Problem

The existing greenhouse environmental regulation system cannot fully consider the comprehensive impact of multi-dimensional physiological data on crop growth, and cannot dynamically respond to the real-time growth needs of crops, resulting in lag and inaccuracy of environmental control.

Method used

The intelligent greenhouse crop growth status monitoring and management system based on the Internet of Things is adopted, and the canopy spectrum data, stem pressure fluctuation data and root conductivity data are collected through the multi-source perception module, combined with the spatiotemporal calibration module, physiological parameter calculation module and growth coupling analysis module, dynamically calculate the growth coordination index, and adjust environmental parameters through the regulation decision module and the closed-loop execution module.

Benefits of technology

Accurate regulation of the greenhouse environment has been achieved, crop growth efficiency has been improved, energy waste has been reduced, and crop yield and quality have been significantly improved.

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Abstract

The invention relates to the technical field of intelligent agriculture, in particular to an intelligent greenhouse crop growth state monitoring and management system based on the Internet of Things, which comprises a multi-source sensing module, a space-time calibration module, a physiological parameter calculation module, a growth coupling analysis module, a regulation and control decision module and a closed-loop execution module. Wherein the multi-source sensing module is used for acquiring canopy spectral data, stem pressure fluctuation data and root conductivity data; the space-time calibration module is used for carrying out space-time alignment; the physiological parameter calculation module is used for calculating effective root activity in combination with the conductivity data of the root system; the growth coupling analysis module is used for dynamically calculating a growth coordination index value; the regulation and control decision module is used for generating a regulation and control instruction set; and the closed-loop execution module is used for dynamically correcting parameters of the regulation and control instruction. According to the invention, through multi-source sensing, dynamic calculation and closed-loop feedback mechanisms, precise environment regulation and control based on the real-time growth state of crops are realized, and the resource utilization efficiency is improved.
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