Effective Farming Using Machine Learning Algorithm in Climate Change

  S.Priyanga,  S. Soniya,  R.Kowsalya,  K.Prasannakumar

In accuracy agriculture, real time and exactly produced information is organize and unstructured datasets. As accuracy agriculture produces more information in the unstructured shape and momentum look into slant is to discover learned data from them. The necessity of past cultivating is to enhance the excellence of farming items & administrations by decreasing speculation rate. In proposed methodology, to store the unstructured data in server, then it to be processed using streaming algorithms and finally get the result in visualization using machine learning. It seems to show the prediction of cultivation, save the farmers time, gave more profit in short duration instead of losing their growth on natural disasters. The necessity of cultivating is the effective utilization on cultivation using machine learning algorithm. Machine learning algorithm is a predictive modelling technique which gives relationship between dependent and independent variables which was so helpful in predicting unstructured data on agribusiness). In this methodology, data sets have to be collected from trained data sets. The visualization gives overview of farmers able to cultivate or not in this season

Keywords- visualization, machine learning, cultivation, farming, natural disasters, prediction

Unique Identification Number - IJEDR1901086
Page Number(s) - 478-481
Pubished in - Volume 7 | Issue 1 | March 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  S.Priyanga,  S. Soniya,  R.Kowsalya,  K.Prasannakumar,   "Effective Farming Using Machine Learning Algorithm in Climate Change", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 1, pp.478-481, March 2019, Available at :http://www.ijedr.org/papers/IJEDR1901086.pdf