文章基本信息

标题：Effective Use of Big Data Planning and Analytics in Crop Planting
本地全文：下载
作者：T. Karthick ; T. Kirthiga Devi ; M. Ramprasath 等
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2020
卷号：17
期号：2
页码：677-693
DOI：10.14704/WEB/V17I2/WEB17060
出版社：University of Tehran
摘要：The effective rainfall, temperature and humidity received in a particular region plays a huge role in the development of crops in agriculture during all time lapses of yield. There could be instances when the constraining, precipitation, temperature and humidity probably won't be adequate to help crop development and along these lines information about it already can help crop growers in assessing the kind of crop that needs to be grown for maximum profit considering the farmer‟s contribution. Expectation of viable precipitation, temperature and humidity needs is a difficult chore which requires an accurate and conscientious investigation of a compelling synopsis of components, for instance, humidity and temperature. A few years ago successful rainfall was registered by contemplating triple central points, the humidity, climate and the resulting precipitation. Various numerical models have been planned and expected over many years and a considerable amount of it are still applied to locate the „successful precipitation‟. Here the forceful precipitation, temperature and humidity is registered by an advancement of difficult mathematical calculations which have been divided into more straightforward approaches and processes and given as an expected outcome. In the expected work, we foresee reasonable earning of crops for development dependent on atmospheric characteristics such as precipitation, temperature and humidity.
关键词：Crop Planning; Data Analytics; Weather Regulation; Yield; Farming Development; Navie Bayes;