Open AccessBig Data Analytics to Increase the Agricultural Yield by Using Machine Learning Approaches
Author(s) -
V Sudha,
Shashank Mohan,
S. Arivalagan
Publication year - 2018
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2018.7.s1.1799
Subject(s) - big data , agriculture , computer science , data science , cropping , domain (mathematical analysis) , field (mathematics) , analytics , locality , machine learning , artificial intelligence , data analysis , agricultural productivity , agricultural engineering , data mining , engineering , mathematics , geography , mathematical analysis , linguistics , philosophy , archaeology , pure mathematics
Agriculture is the backbone of Indian economy. Big data are emerging précised and viable analytical tool in agricultural research field. This review paper facilitates the farmers in selecting the right crops and appropriate cropping pattern for a particular locality. A modern trend in the Agriculture domain has made people realize the importance of big data. It provides a methodology for facing challenges in agricultural production, by applying this Algorithm, using machine learning techniques. The different machine learning techniques survey is presented in this paper to realize enhanced monitory benefits in a particular area. A study of machine learning algorithms for big data Analytic is also done and presented in this paper.