Prediction of Crop Yield and Cost by Finding Best Accuracy using Machine Learning Approach

Authors

  • Swathi  Department of CSE, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Mrs. Soja Rani  Department of CSE, New Horizon College of Engineering, Bangalore, Karnataka, India

Keywords:

Dataset, Crop Yield, Machine Learning- Classification Method.

Abstract

Among around the world, agribusiness has the significant duty regarding improving the financial commitment of the country. Still the most agrarian fields are immature because of the absence of arrangement of biological system control advances. Because of these issues, the yield creation isn't improved which influences the farming economy. Subsequently an improvement of rural profitability is upgraded dependent on the plant yield expectation. To forestall this issue, Agricultural areas need to anticipate the yield from given data set utilizing AI procedures. The outcomes show that the viability of the proposed AI calculation strategy can be contrasted and best exactness with accuracy.

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

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Published

2021-03-27

Issue

Volume 8, Issue 1, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Swathi, Mrs. Soja Rani, " Prediction of Crop Yield and Cost by Finding Best Accuracy using Machine Learning Approach" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 1, pp.76-83, March-April-2021.