基于神经网络的平菇栽培温湿度控制

D. Gajbhiye, Kavita Joshi, Madana Mekala
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引用次数: 1

摘要

在平菇栽培过程中,温度和湿度是影响平菇生长的重要参数。控制温度和湿度是一项非常微妙的任务,因为栽培空间在温度22 -28°C和湿度60- 90%之间保持稳定。为了精确测量温度和湿度,我们提出了一个项目,通过串行通信将湿度和温度的值提供给Arduino,并使用ANN对DC FAN和Mist Maker进行决策,这两个基本分别用于控制温度和湿度。本系统的目的是实现香菇栽培厂房的温湿度自动控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temperature & Humidity Control By Using Neural Network For Oyster Mushroom Cultivation
In oyster mushroom cultivation process, the temperature and the humidity are very important parameter for the growth of mushroom. Controlling temperature and humidity are very delicate task because cultivation space remains stable at temperatures range between 22 -28 ° C and humidity 60-90 %. For accurate measurement of temperature and humidity we are proposing a project in which the values of the humidity and temperature are given to the Arduino through serial communication and the ANN is used for decision making of DC FAN and Mist Maker which are basically used to control temperature and Humidity respectively. The aim of this system is to control the temperature and humidity automatically in mushroom cultivation plant.
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