Open AccessOptimizing the Productivity and Increasing the Profitability of Oil Seed Corps using Data Analytics
Author(s) -
K. Baskar,
S. Arivalagan,
P. Sudhakar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2499.0981119
Subject(s) - profitability index , agricultural engineering , profit (economics) , productivity , agriculture , adaboost , irrigation , yield (engineering) , process (computing) , data analysis , computer science , analytics , agricultural science , environmental science , business , engineering , economics , agronomy , data mining , artificial intelligence , support vector machine , ecology , materials science , finance , biology , metallurgy , macroeconomics , microeconomics , operating system
This study discuss the about the optimization of the yield of the oil crops by using Adaboost technique for predicting the desired results. Big data analyses are used to collect and process the required information. Agriculture is the backbone on the Indian economy. The yield of the various crops depends on the rainfall, weather, types of soil, fertilizer used, irrigation methods and cultivating procedure. Every year, the mismatch in the demand and supply results in major loss to the crop producers, the issues can be addressed by preprocessing the data scientifically. For this process a novel OSM method is used. Our proposed method gives suggestion about when they sow Oilseeds and Sell grain in Market (OSM) that they required more information. In this study data related to various crops has been collected from different sources. Adaboost technique is used to process the data for predicting the required information for the optimum benefit of the producers. This method of analysis gave a better solution to the producers to gain maximum yield and profit.