Crop growth environment prediction and regulation method

Abstract

The invention provides a crop growth environment prediction and regulation method. The method comprises the steps that (A1) crop production environment parameters are collected in advance and a basicdatabase model is established, (A2) a sensor collects production environment data of crop and converges the data to a gateway, wherein the production environment data includes production environment parameters and images of the crop, (A3) the gateway uploads the data to a data middleware module, (A4) the data middleware module stores the data into a message queue and the database through the encoding and decoding, (A5) the database marks the data according to the category, and the data in the message queue is uploaded to the cloud platform, and (A6) the cloud platform cleans the received dataand outputs result by using the basic database model, a difference between the output result and crop production information is obtained, and the basic database model is adjusted according to the difference to obtain a crop growth environment prediction and regulation model. The model is accurate.

Description

technical field [0001] The invention relates to crop monitoring, in particular to a method for predicting and regulating the growing environment of crops. Background technique [0002] In the growth of crops in the shed, many large-scale and many experimental bases in my country have begun to use the growth data collection, remote monitoring and remote control of the agricultural Internet of Things, but in actual use, the data collected by the sensor has not been really used. Most of the remote control is to manually control the environment in the shed. There is no scientific method to predict the optimal growth environment of a crop according to different crops and different growth stages of the crops, and a method to regulate the growth environment. Now a method is needed. According to the different growth stages of different crops, according to the collected data and the growth environment, it can be regulated to form a method for the optimal growth environment of the crops...

AI Technical Summary

Problems solved by technology

[0002] In the growth of crops in the shed, many large-scale and many experimental bases in my country have begun to use the growth data collection, remote monitoring and remote control of the agricultural Internet of Things, but in actual use, the data collected by the sensor has not been really used. Most of the remote control is to manually control the environment in the shed. There is no scientific method to predict the optimal growth environment of a crop according to different crops and different growth stages of the crops, and a method to regulate the growth environment. Now a method is needed. According to the different growth stages of different crops, according to the collected data and growth environment, it can be regulated to form a method for the optimal growth environment of crops, so as to increase production and improve economic value and efficiency

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