Open AccessAgriculture Price Prediction Using Data Mining
Author(s) -
Veeresh Kadlimatti,
Shivakumar V. Saboji
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1205.0886s19
Subject(s) - agriculture , livelihood , gross domestic product , product (mathematics) , agricultural economics , work (physics) , foreign exchange , population , business , economics , geography , engineering , economic growth , mathematics , monetary economics , mechanical engineering , geometry , demography , archaeology , sociology
Agriculture is the main source and backbone of Indian Economy and plays a vital role in individual life. In the total Gross Domestic Product (GDP) agriculture nearly contributes sixteen percent and for increasing foreign exchange it contributes nearly ten percent to the total country exports. As the population continuously increasing and to manage the livelihood of the country there’s requires a proper utilization and management of agriculture products. Data mining is a better technique and best choice in predicting the accurate prices of the agriculture based on previous data. In this work various data mining algorithms are applied on the dataset to predict the future prices of the agriculture products. Keywords: Agriculture, Data-Mining, Prediction.