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

A neural network, environmental parameter technology

Active Publication Date: 2019-08-13
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0004] The invention provides an intelligent monitoring device for tomato greenhouse environmental parameters based on the ANFIS neural network. The invention builds a tomato greenhouse environmental parameter monitoring and adjustment platform, which effectively solves the problem that the existing technology cannot predict the influence of tomato greenhouse soil moisture on tomato greenhouse output. Issues with Early Warning Tomato Greenhouse Yield

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

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[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 ...

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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.

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...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 马从国姜仲秋周亮刘恩旭杨玉东马海波丁晓红王建国
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
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