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Greenhouse irrigation system and method based on neural network prediction

A neural network and irrigation system technology, applied in neural learning methods, biological neural network models, prediction and other directions, can solve problems such as poor accuracy and slow speed, and achieve the effect of accurately predicting plant water requirements

Active Publication Date: 2018-11-13
HUAIAN COLLEGE OF INFORMATION TECH
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  • Application Information

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Problems solved by technology

Due to the scattered agricultural management points, the disadvantages of data collection and information transmission using traditional methods are poor accuracy and slow speed

Method used

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  • Greenhouse irrigation system and method based on neural network prediction
  • Greenhouse irrigation system and method based on neural network prediction

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Embodiment Construction

[0033] The present invention is described in further detail now in conjunction with accompanying drawing and embodiment, and these accompanying drawings are all simplified schematic diagrams, and the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of the present invention Some, but not all, embodiments. The basic structure of the present invention is illustrated only in a schematic manner, so that it only shows the constituents relevant to the present invention.

[0034] The implementation of the present invention will be described in detail below in conjunction with specific embodiments.

[0035] Such as figure 1 with figure 2 As shown, the greenhouse irrigation system and method based on neural network prediction include: several greenhouse 6 monitoring areas, the greenhouse 6 monitoring areas are set in the greenhouse 6, and the monitoring module 1 is arranged in the g...

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Abstract

The invention discloses a greenhouse irrigation system and method based on neural network prediction. The greenhouse irrigation system comprises a plurality of greenhouse monitoring areas, a neural network prediction module, a fuzzy control decision module and an irrigation module, wherein the greenhouse monitoring areas are arranged in a greenhouse, monitoring modules are arranged in the greenhouse monitoring areas, and each monitoring module comprises a humidity monitoring system, a temperature monitoring system and a soil moisture monitoring system; the neural network prediction module is connected with the monitoring modules and used for predicting evapotranspiration of crops in the greenhouse; the fuzzy control decision module is connected with the neural network prediction module, and a fuzzy PID control mode is adopted by the fuzzy control decision module; the irrigation module is connected with the greenhouse and the fuzzy control decision module.

Description

technical field [0001] The invention belongs to the technical field of irrigation, and in particular relates to a greenhouse irrigation system and method based on neural network prediction. Background technique [0002] The greenhouse was originally a special equipment for vegetable production. With the development of production, the application of greenhouses has become more and more extensive. At present, the greenhouse has been used for potted flower and cut flower cultivation; fruit tree production is used for cultivating grapes, strawberries, watermelons, melons, peaches and citrus, etc.; With the increasing population and the development of industrialization, the problem of water scarcity is becoming more and more significant. This requires us to change the traditional agricultural model with low water use efficiency and implement a smart agricultural management model. Based on the water demand of crops in each period, with the goal of improving the water use efficie...

Claims

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Application Information

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IPC IPC(8): A01G9/24A01C21/00G06Q10/04G06Q10/06G06Q50/02G06N3/08
CPCA01C21/007A01G9/247G06N3/084G06Q10/04G06Q10/06315G06Q50/02Y02A40/10Y02A40/25
Inventor 陈玉华刘晓艳侍寿永关士岩夏玉红
Owner HUAIAN COLLEGE OF INFORMATION TECH
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