• Mrs Thangamma KC
• Priyanka Y
• Sahana Rao P S
• Shravya P N

The objective of this paper is to to provide real time application which is an efficient tool for price prediction.This work is based on finding suitable data models that help in achieving high accuracy and generality of price prediction. Using Supervised learning technique, the knn algorithm predicts the future price for the crop using some of the parameters such as climate factor, supply details, demands and government policies.

Machine Learning, Supervised Learning Technique, Crop price, Climate factor, Supply details and Demand.

"A Supervised Learning Approach for the Prediction of Prices in different Agricultural Commodities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1005-1009, June-2020, Available :http://www.jetir.org/papers/JETIR2006477.pdf

"A Supervised Learning Approach for the Prediction of Prices in different Agricultural Commodities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1005-1009, June-2020, Available at : http://www.jetir.org/papers/JETIR2006477.pdf