Agricultural greenhouse tomato planting intelligent management system and management method

Abstract

The invention discloses an agricultural greenhouse tomato planting intelligent management system and method, and the system comprises a detection unit, the output end of the detection unit is bidirectionally and electrically connected with an Internet of Things gateway, the output end of the Internet of Things gateway is electrically connected with a terminal processor, and the output end of the terminal processor is electrically connected with a storage module and a convolutional neural network. The output end of the terminal processor is electrically connected with a growth state prediction system, and the output end of the storage module is bidirectionally and electrically connected with the input end of the growth state prediction system. According to the invention, correction modeling processing is carried out on images and data through the growth state prediction system, and the tomato growth state is evaluated after processing is completed, so that the effect of changing the tomato growth environment according to the evaluation result is achieved, and the problems that the existing intelligent management system is relatively single in structure and function and inconvenient to use are solved. The problems that the tomato growth state cannot be predicted and evaluated, and the internal environment of the greenhouse cannot be automatically adjusted according to the predicted environment change are solved.

Description

technical field [0001] The invention relates to the technical field of tomato planting, in particular to an intelligent management system and management method for tomato planting in agricultural greenhouses. Background technique [0002] In order to reduce the difficulty of tomato planting, it is necessary to use an intelligent management system to monitor the growth status of tomatoes during the process of planting tomatoes in agricultural greenhouses. However, the existing intelligent management system has a single structure and function, and does not have the ability to predict and evaluate the growth status of tomatoes. Therefore, it is impossible to automatically adjust the internal environment of the greenhouse according to the predicted environmental changes. Contents of the invention [0003] In order to solve the problems raised in the above-mentioned background technology, the object of the present invention is to provide an intelligent management system and man...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems raised in the above-mentioned background technology, the object of the present invention is to provide an intelligent management system and management method for tomato planting in agricultural greenhouses, which has the advantage of predicting and evaluating the growth status of tomatoes, and solves the problem of existing intelligent management systems. The structure and function are relatively simple, and it does not have the effect of predicting and evaluating the growth state of tomatoes, and cannot automatically adjust the internal environment of the greenhouse according to the predicted environmental changes.

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