文章基本信息

标题：Survey on Crop and Weather Forecasting based on Agriculture related Statistical Data
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作者：Pushpa Mohan ; Dr. Kiran Kumari Patil
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：2
页码：2244
DOI：10.15680/IJIRCCE.2017.0502221
出版社：S&S Publications
摘要：Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerousseasonal, economic and biological patterns influence the crop production but unpredictable changes in these patternslead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related tosoil type, temperature, atmospheric pressure, humidity and crop type. Whereas, crop and weather forecasting can bepredicted by deriving useful insights from these agricultural data that aids farmers to decide on the crop they would liketo plant for the forthcoming year leading to maximum profit. This paper presents a survey on the various algorithmsused for weather, crop yield, and crop cost prediction.
关键词：Agriculture; Crop yield prediction; Cost forecasting; Weather prediction.