Agriculture Price Prediction Using Data Mining
Veeresh Kadlimatti1, S. V Saboji2
1Veeresh Kadlimatti, Basaveshwar Engineering College, Bagalkot (Karnataka), India.
2S.V Saboji, Basaveshwar Engineering College, Bagalkot (Karnataka), India.
Manuscript received on 18 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 06 September 2019 | PP: 1075-1077 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F12050886S19/19©BEIESP | DOI: 10.35940/ijeat.F1205.0886S19
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© 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 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.
Keywords: Agriculture, Data Mining, Prediction, Regression.
Scope of the Article: Data Mining