Analysis of Crop Production Dataset using R Tool
A. Srividhya1, K.Sumathi2
1A. Srividhya, Department of CS & IT, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar (Tamil Nadu), India.
2Dr. K. Sumathi, Assistant Professor, Department of CS & IT, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar (Tamil Nadu), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 30 December 2019 | PP: 107-110 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A11001291S419/19©BEIESP | DOI: 10.35940/ijeat.A1100.1291S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agriculture is the most important factor of the Indian economy, but this vital industry which currently needs more support than any other. Agriculture is the main sector which is responsible for feeding every individual, but the people involved in it are totally neglected and last to be taken care of. With newer problems cropping up every day in the most inevitable indigenous sectors, it is high time we resort to emerging technologies for solutions. Effective Data Analysis is used to predict the production values and market rates. In this paper Agriculture data of virudunagar district is analyzed using R Tool and Microsoft Azure in different aspects such as percentage of crop produced in various season, Production details of various crops, and crop production in different years from 1997 to 2013. The dataset is also analyzed to list out the low production crops, average production crops and high production crops using R Tool.
Keywords: Agri-Dataset Analysis, R Tool for Data Analysis.
Scope of the Article: Predictive Analysis