An Intelligent Monitoring System for Green Pepper Greenhouse Environment Based on Subtractive Clustering Classifier

A technology of subtractive clustering and intelligent monitoring, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as inability to produce early warning in green pepper greenhouses

Active Publication Date: 2020-08-25
威海晶合数字矿山技术有限公司
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AI Technical Summary

Problems solved by technology

[0003] The present invention provides a green pepper greenhouse environment intelligent monitoring system based on a subtractive clustering classifier. Early warning of green pepper greenhouse production by greenhouse ambient temperature and light

Method used

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  • An Intelligent Monitoring System for Green Pepper Greenhouse Environment Based on Subtractive Clustering Classifier
  • An Intelligent Monitoring System for Green Pepper Greenhouse Environment Based on Subtractive Clustering Classifier
  • An Intelligent Monitoring System for Green Pepper Greenhouse Environment Based on Subtractive Clustering Classifier

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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 greenhouse environment intelligent monitoring system of the present invention realizes detection of green pepper greenhouse environmental factor parameters and early warning of green pepper greenhouse output according to the impact of environmental factors on green pepper greenhouse output. The system consists of green pepper greenhouse environmental parameter detection platform based on wireless sensor network and green pepper Greenhouse output intelligent early warning system composition. The green pepper greenhouse environmental parameter detection platform based on wireless sensor network includes the detection node 1 of the green pepper greenhouse environmental parameters and the control node 2 for adjusting the green pepper greenhouse environmental parameters. Wireless communication between the on-sit...

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Abstract

The invention discloses a green pepper greenhouse environment intelligent monitoring system based on a subtractive clustering classifier, which is characterized in that: the intelligent monitoring system consists of two parts: a green pepper greenhouse environment parameter detection platform based on a wireless sensor network and a green pepper greenhouse output intelligent early warning system Composition; the present invention provides a green pepper greenhouse environment intelligent monitoring system based on a subtractive clustering classifier. Early warning of green pepper greenhouse yield by environmental temperature and light in green pepper greenhouse.

Description

technical field [0001] The invention relates to the technical field of agricultural greenhouse automation equipment, in particular to a green pepper greenhouse environment intelligent monitoring system based on a subtractive clustering classifier. Background technique [0002] Green pepper flesh is thick, crisp and tender, and rich in nutrition. It can be cultivated in the south and north of my country. It occupies a very important position in vegetable production. Its output is second only to tomato in solanaceous vegetables. It is one of the vegetables that people like all year round. one. The production of green peppers has a strong seasonality, which makes the contradiction between the off-peak season and the peak season of market supply more prominent. In the peak production season, rot and loss are serious, and the supply in the off-season is insufficient, which is difficult to meet people's needs. Green pepper, also known as sweet pepper and vegetable pepper, is an an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D27/02G05B13/04G05B13/02G05B19/042G01D21/02G06K9/62G06N3/04
CPCG05D27/02G05B13/048G05B13/042G05B13/0285G05B19/042G01D21/02G05B2219/25252G05B2219/2614G06N3/045G06F18/214
Inventor 马从国姜仲秋汪超梁欢丁晓红马海波周恒瑞王建国
Owner 威海晶合数字矿山技术有限公司
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