文章基本信息

标题：A Survey on Predicting Suitable Crops for Cultivation Using IoT
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作者：Shridhar Mhaiskar ; Chinmay Patil ; Piyush Wadhai 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：1
页码：318
DOI：10.15680/IJIRCCE.2017.0501047
出版社：S&S Publications
摘要：The Internet of Thing (IoT) is playing a vital role in everyday life of human being. It is being used inalmost every domain. The aim of the system is to predict a crop which can be cultivated in order to give maximumyield after harvesting. In order to get maximum yield it is very necessary that the crop which is going to be cultivatedhave suitable climatic and soil conditions. The proposed system works on two domains, IoT and Machine Learning.The system predicts the values of moisture, temperature and Ph value from the historical data which is generated byrespective sensors. Crop production depends on various factors which includes biological characteristics, environmentalconditions, soil attributes. Applying appropriate data mining techniques on data collected from sensor devices will beused for the recommendation of the suitable crops for cultivation.
关键词：IoT; Machine learning; prediction; K means; ARIMA Model; KNN algorithm; Precision agriculture;Raspberry pi3; sensors.