International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Agricultural Crop Commodities Price Prediction Using Machine Learning Techniques

Abstract

Agriculture is the backbone of our country. Agriculture plays an important role in economy of the country. The demand of agricultural products continuously increases with increase in population. Farmers need to think of increase in crop yield with the limited amount of land. The suicide rate is increasing with every passing year because the farmers aren't able to get the desired price for their crops and farmers need to predict the yield of the crop before cultivating into agricultural land. Farmers are not getting the proper price for which they have cultivated. Yield of the crops depends on soil parameters, rainfall, and soil moisture. Price prediction in agriculture commodity has been a major problem for the farmers. The main aim is to provide new framework and develop a system with more efficient price prediction. Using machine learning techniques the price prediction and crop Analysis can be done which reduces the farmer effect.

Country : India

1 Prashantha S2 Shravan C Y3 Bharath B4 Bharghavachar B N5 Prof. Shilpa B L

  1. Student, Dept. of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028, Karnataka, India
  2. Student, Dept. of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028, Karnataka, India
  3. Student, Dept. of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028, Karnataka, India
  4. Student, Dept. of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028, Karnataka, India
  5. Assistant Professor, Dept. of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028, Karnataka, India

IRJIET, Volume 4, Issue 6, June 2020 pp. 69-74

doi.org/10.47001/IRJIET/2020.406009

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