Crop Prediction Using Various Feature Selection Techniques and Classifiers Based on Agricultural Environment Characteristics

Authors

  • L. Shalini Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • Buddupu Joseph Srinivas Reddy Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • Sai Vardhan Chakali Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • Chandan Kumar Chaubey Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • David Chandra Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India

DOI:

https://doi.org/10.5281/zenodo.10969822

Keywords:

crop yield prediction, lasso, kernel ridge, enet, stacked regression

Abstract

An important role that agriculture plays in strengthening the US economy is as follows. The advancement of humanity can be attributed to agriculture. India is an agricultural nation in the United States of America, with a fruit-based economy. The foundation of everything in the United States is agriculture. In agricultural businesses, crop selection is vital. The yield's commitment might be entirely dependent on a number of variables, such as production stages, market costs, and national legislation. Numerous agricultural changes are necessary to enhance the financial system in India. Agricultural productivity may be increased by using technology to learn techniques that are effectively used in the field. Precious and accurate data on a wide range of issues play a major role in agriculture, in addition to all the things within the sphere of machinery and inventions utilized in it. The purpose of the gadget is to implement a yield dedication strategy, a random woodland, and a regressor tree judgment in order to enable this selection to address several challenges related to agriculture and farmers. This is strengthening the Indian economy and producing more plants.

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Published

14-04-2024

Issue

Section

Articles

How to Cite

[1]
L. Shalini, B. J. S. Reddy, S. V. Chakali, C. K. Chaubey, and D. Chandra, “Crop Prediction Using Various Feature Selection Techniques and Classifiers Based on Agricultural Environment Characteristics”, IJRESM, vol. 7, no. 4, pp. 73–78, Apr. 2024, doi: 10.5281/zenodo.10969822.