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

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DOI Prefix: 10.47001/IRJIET

Crop Yield Prediction and Recommendation System Using Machine Learning

Kamalesh MM.Tech. Artificial Intelligence, Department of CSE, School of Engineering, Presidency University, Bangalore, IndiaDr. Ragaventhiran JProfessor, School of Engineering, Presidency University, Bangalore, India

Vol 7 No 5 (2023): Volume 7, Issue 5, May 2023 | Pages: 214-217

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 30-05-2023

doi Logo doi.org/10.47001/IRJIET/2023.705026

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Abstract

About half of the population of India depends on agriculture for its livelihood, but its contribution towards the GDP of India is only 14 per cent. One possible reason for this is the lack of adequate crop planning by farmers. There is no system in place to advice farmers what crops to grow. In this paper we present an attempt to predict crop yield and price that a farmer can obtain from his land, by analysing patterns in past data. We make use of a sliding window non-linear regression technique to predict based on different factors affecting agricultural production such as rainfall, temperature, market prices, area of land and past yield of a crop. The analysis is done for several districts of the state of Tamilnadu, India. Our system intends to suggest the best crop choices for a farmer to adapt to the demand of the prevailing social crisis facing many farmers today.

Keywords

KNN, ANN, CNN, Machine Learning


Citation of this Article

Kamalesh M, Dr. Ragaventhiran J, “Crop Yield Prediction and Recommendation System Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 5, pp 214-217, May 2023. https://doi.org/10.47001/IRJIET/2023.705026

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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