Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Temperature prediction method and system for intelligent greenhouse

A forecasting method and greenhouse technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of small accurate forecasting range, low forecasting accuracy, and inability to timely and accurately control the greenhouse, so as to improve accuracy, reduce crop losses, The effect of expanding the temperature prediction range

Pending Publication Date: 2021-02-26
CHINA AGRI UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the temperature prediction method for smart greenhouses is mainly based on historical temperature change trends and based on human experience predictions, so that the prediction accuracy is relatively low; while the real-time alarm of smart greenhouses is too late for the control of greenhouses, it can be accurate The prediction range is small, and it is impossible to timely and accurately control the greenhouse

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Temperature prediction method and system for intelligent greenhouse
  • Temperature prediction method and system for intelligent greenhouse
  • Temperature prediction method and system for intelligent greenhouse

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0048] The present invention realizes accurate temperature prediction for the agricultural intelligent greenhouse. By processing and analyzing a large amount of greenhouse data collected by greenhouse sensors, multiple algorithms are used to regress the greenhouse temperature, and multiple evaluation criteria are used to evaluate the model and optimize the greenhouse. Temperature prediction m...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a temperature prediction method and system for an intelligent greenhouse. The method comprises the steps of obtaining greenhouse environment data of the intelligent greenhouse;and inputting the greenhouse environment data into a trained greenhouse temperature prediction model to obtain a prediction temperature of the intelligent greenhouse at a preset moment, the trained greenhouse temperature prediction model being obtained by training a machine learning model through sample greenhouse environment data. Through the greenhouse temperature prediction model, a large amount of greenhouse data collected by the greenhouse sensor is processed and analyzed, the temperature prediction accuracy of the intelligent greenhouse is improved, the temperature prediction range is expanded, and therefore crop losses caused by inaccurate temperature prediction are reduced.

Description

technical field [0001] The invention relates to the technical field of greenhouse environment intelligent monitoring, in particular to a temperature prediction method and system for an intelligent greenhouse. Background technique [0002] Smart greenhouses have a comprehensive environmental control system, which can directly adjust many factors such as indoor temperature, light, water, fertilizer and air. In recent years, with the rapid development of vegetable greenhouse construction, smart greenhouses have brought impetus to agricultural development. [0003] In the environmental regulation of the smart greenhouse, the temperature prediction is particularly critical. It is necessary to predict the temperature change of the smart greenhouse in the future, so as to accurately control the temperature in the greenhouse. At present, the temperature prediction method for smart greenhouses is mainly based on historical temperature change trends and based on human experience predi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62G06N20/00
CPCG06Q10/04G06N20/00G06F18/214Y02A40/25
Inventor 李想瞿李傲黄帅琪陈昕卢韬
Owner CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products