Application of Machine learning in Crop Yield Prediction of Finger Millet using Multiple Linear Regression

Authors

  • Tarun Mourya. S  Department of Computer science, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  • S. Nagini  Department of Computer science, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  • Anne Slagha  Department of Computer science, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India

DOI:

https://doi.org/10.32628/CSEIT206616

Keywords:

Machine Learning, Multiple Linear Regression, Python, Numpy, Pandas

Abstract

Agriculture is the mainstay of the Indian economy and it is important to enhance the production with the help of technology. Crop production is a complex phenomenon that is influenced by various parameters like climatic conditions, fertilizers, production, rainfall, etc. In the present study Machine learning is used to predict the crop yield of finger millet using multiple linear regression analysis. Multiple linear regression is considered as a model for prediction and the accuracy of the model for the given data is significantly high when compared to other models. Object oriented Python is used and packages like NumPy and Pandas are utilized for performing operations and data analysis respectively. The main advantage of the research is the prediction of the approximate crop yield well ahead of its harvest, which would help the farmers in taking appropriate measures in crop cultivation, marketing and storage. Such predictions will also help the associated industries for planning the logistics of their business.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-12-30

Issue

Volume 6, Issue 6, November-December-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Tarun Mourya. S, S. Nagini, Anne Slagha, " Application of Machine learning in Crop Yield Prediction of Finger Millet using Multiple Linear Regression" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 6, pp.280-284, November-December-2020. Available at doi : https://doi.org/10.32628/CSEIT206616