An efficient crop recommendation system using machine learning mechanisms

Authors

  • Kiran Kumar P N Dept. of Computer Science and Engineering, SJC Institute of Technology, VTU, Chikkaballapur, India
  • Bhavya R A Dept. of Computer Science and Engineering, SJC Institute of Technology, VTU, Chikkaballapur, India
  • Dhanushree A N Dept. of Computer Science and Engineering, SJC Institute of Technology, VTU, Chikkaballapur, India
  • Nagarjuna G R Dept. of Artificial Intelligence and Machine Learning, SJC Institute of Technology, VTU, Chikkaballapur, India

DOI:

https://doi.org/10.5281/zenodo.11441063

Keywords:

Agriculture, machine learning algorithms, Confusion Matrix

Abstract

In India, the job situation and economy are significantly influenced by agriculture. However, a common problem for Indian farmers is choosing the wrong crops for their land, which lowers yield. In addition to having an impact on individual farmers' earnings, this problem has larger ramifications for the country's food security and is a factor in the surge in farmer suicides. Proactive steps are needed to address these issues, such as recommending appropriate crops based on soil tests before sowing. A crop recommendation system that incorporates machine learning algorithms is one suggested way to address this. The objective is to reduce farmer losses and increase total productivity by evaluating the profitability of individual crops. Various soil factors are used to identify the most suited crops through the use of machine learning algorithms for classification. To verify dependable results, the efficacy of this method is tested by calculating accuracy and confusion matrix metrics. The objective is to equip farmers with the knowledge necessary to make wise decisions by strategically applying cutting-edge algorithms and data analysis. This will ultimately promote sustainable agricultural practices and solve the sector's problems.

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Published

2024-06-03

How to Cite

Kiran Kumar P N, Bhavya R A, Dhanushree A N, & Nagarjuna G R. (2024). An efficient crop recommendation system using machine learning mechanisms . International Journal of Human Computations & Intelligence, 3(2), 325–333. https://doi.org/10.5281/zenodo.11441063

Issue

Vol. 3 No. 2 (2024): March / April - Issue - 02

Section

Articles

License

Copyright (c) 2024 Kiran Kumar P N, Bhavya R A, Dhanushree A N, Nagarjuna G R

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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