Intelligent detection system for eggplant greenhouse environment based on wavelet neural network

Abstract

The invention discloses an intelligent detection system for an eggplant greenhouse environment based on a wavelet neural network. The detection system comprises two parts: an eggplant greenhouse environmental parameter acquisition platform based on a wireless sensor network and an eggplant greenhouse yield intelligent early warning system. The system effectively solves the problems that the conventional eggplant greenhouse yield is affected by nonlinearity and large hysteresis of eggplant greenhouse environment temperature changes, large area of the eggplant greenhouse, complicated temperaturechange and the like, the eggplant greenhouse yield is not predicted and the eggplant greenhouse environment temperature is not accurately detected and adjusted, so that the prediction of the eggplantgreenhouse environment yield and the production management are greatly affected.

Description

technical field [0001] The invention relates to the technical field of agricultural greenhouse automation equipment, in particular to an eggplant greenhouse environment intelligent detection system based on a wavelet neural network. Background technique [0002] Eggplant is one of the main types of vegetables in the north and south of my country. It occupies an important position in production and is widely cultivated in various parts of our country. At present, my country's eggplant production has achieved annual supply, basically forming a four-element annual protection cultivation system of high-efficiency and energy-saving solar greenhouses, plastic sheds, plastic films, and sunshade nets. Eggplant belongs to the taproot eggplant with well-developed root system and strong ability to absorb fertilizer and water. Eggplant is tender and juicy, with large fruit size and high water demand. Therefore, water management has become one of the most critical technologies in eggpla...

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Problems solved by technology

[0003] The present invention provides an intelligent detection system for eggplant greenhouse environment based on wavelet neural network. The present invention effectively solves the problem that the output of the existing eggplant greenhouse does not vary according to the environmental temperature of the eggplant greenhouse, the large hysteresis and the complex temperature change of the eggplant greenhouse. The impact on the production of eggplant greenhouse, there is no prediction of the production of eggplant greenhouse and accurate detection and adjustment of the environmental temperature of the eggplant greenhouse, which greatly affects the environmental output prediction and production management of eggplant greenhouse

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