文章基本信息

标题：A Survey on Temperature & Humidity Control by Using Neural Network for Oyster Mushroom Cultivation
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作者：Dnyaneshwari Gajbhiye ; Kavita Joshi ; Madana Mekala 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：3
页码：2574
DOI：10.15680/IJIRSET.2018.0703104
出版社：S&S Publications
摘要：For oyster mushroom growth the environment parameters should be favorable. These enviromentalparameters are temperature and humidity which are very important parameter for the production of oyster mushroom.Controlling these environment parmetes is very delicate task as cultivation space remains stable at temperature rangebetween 22-280 C and humidity 60-90%. So for accurate measurement of humidity and temperature, we are showcasinga survey in which the values of the humidity and temperature are given to the arduino and serial communication.Furthermore ANN(Artificial Neural Network) is used for the decision making of DC Fan and Mist Maker.These devicemainly used to maintain temperature and humidity. We are explaining the algorithm of Neural Network used in oursystem. We have also compared feed forward neural network. The aim of this system is automatically control thetemperature and humidity in mushroom cultivation plant.
关键词：Cultivation of Oyster Mushroom; Feed Forward Neural Network; DHT11; Matlab.