A greenhouse environment control system and method based on crop organ phenotypic information

By installing a crop organ phenotypic information acquisition platform and an environmental control module in a greenhouse, and combining a long short-term memory network and an economically optimal control model, the problem of crop organ growth not being considered in existing technologies has been solved, enabling more precise environmental regulation and improving crop yield and quality.

CN122086173APending Publication Date: 2026-05-26CHANGZHOU INST OF TECH
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGZHOU INST OF TECH
Filing Date
2026-02-10
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing greenhouse environmental control methods fail to comprehensively consider crop organ growth, information on the environment inside and outside the greenhouse, and future weather changes, resulting in insufficient matching between crop phenotype and environmental control.

Method used

A crop organ phenotypic information acquisition platform is adopted, which is combined with a greenhouse environment control module and a regulation execution module. Crop organ phenotypic and environmental information are collected through suspended rail and sliding rail sensors. Long short-term memory network is used to predict environmental data for the next 24 hours, and environmental parameters are optimized by combining an economically optimal control model and a genetic algorithm.

Benefits of technology

It has improved the accuracy of environmental forecasting, enabled more precise environmental control, and improved the yield and quality of greenhouse crops.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122086173A_ABST
    Figure CN122086173A_ABST
Patent Text Reader

Abstract

This invention discloses a greenhouse environment control system and method based on crop organ phenotypic information, belonging to the field of greenhouse environment control technology. The method includes: acquiring historical datasets and weather forecast data; constructing a greenhouse environment prediction model; inputting the historical datasets and weather forecast data into the greenhouse environment prediction model to obtain greenhouse environmental data for the next 24 hours; constructing a crop growth prediction model; combining current environmental information and crop organ phenotypic growth information from the previous 7 days to predict crop organ phenotypic growth information to obtain predicted crop growth values; obtaining crop target values; acquiring actual crop growth values ​​using a crop organ phenotypic information acquisition platform and comparing them with the predicted values ​​to obtain the difference; determining whether to adjust the crop target values ​​based on the difference, and thus adjusting greenhouse environmental parameters. This invention incorporates crop organ phenotypic information feedback into greenhouse environment optimization and control technology, improving the yield and quality of greenhouse crops.
Need to check novelty before this filing date? Find Prior Art