Tomato greenhouse environmental parameter intelligent monitoring device based on ANFIS neural network

A neural network, environmental parameter technology

CN110119086AActive Publication Date: 2019-08-13HUAIYIN INSTITUTE OF TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2019-08-13

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Abstract

The present invention discloses a tomato greenhouse environmental parameter intelligent monitoring device based on an ANFIS neural network. The intelligent monitoring device is composed of a wirelesssensor network-based tomato greenhouse environmental parameter intelligent detection platform and a tomato greenhouse yield intelligent early warning system. According to the tomato greenhouse environmental parameter monitoring and regulation platform established by the present invention, the problem that the tomato greenhouse yield cannot be predicted and early warned according to the impact of tomato soil moisture on the tomato greenhouse yield in the prior art is effectively solved.
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Description

technical field

[0001] The invention relates to the technical field of agricultural greenhouse automation equipment, in particular to an intelligent monitoring device for environmental parameters of tomato greenhouses based on the ANFIS neural network. Background technique

[0002] Tomato is an important worldwide vegetable crop, occupies an important position in vegetable production and supply, and is one of the main varieties of domestic facility agriculture. The long-season cultivation of greenhouse tomatoes is mostly carried out in modern greenhouses and energy-saving solar greenhouses to achieve high-quality and efficient tomato production. The basic goal of greenhouse tomato production is to make full use of the controllability of the facility environment, and to achieve the target control of yield, harvest and market time, plant development shape, quality, fruit size, etc. according to the plan designed in advance by the producer. Greenhouse tomato production has gra...

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Embodiment Construction

[0033] combined with Figure 1-6 , further describe the technical solution of the present invention:

[0034] 1. Design of the overall function of the system

[0035] The intelligent monitoring device of tomato greenhouse environmental parameters based on ANFIS neural network in the present invention realizes detection of tomato greenhouse environmental parameter parameters and intelligent prediction of tomato greenhouse output. The system consists of a tomato greenhouse environmental parameter intelligent detection platform based on wireless sensor networks and tomato Greenhouse output intelligent early warning system composition. The intelligent detection platform of tomato greenhouse environmental parameters based on wireless sensor network includes detection node 1 of tomato greenhouse environmental parameters and control node 2 of adjusting tomato greenhouse environmental parameters. They use NRF2401 combined with MSP430 series microprocessor to realize detection node 1 ...