Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers-Reference-Cited by-同舟云学术

Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers

Published:2022-07-13 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Mariammal Ganesan¹^ORCID,Suruliandi Andavar²^ORCID,Segovia‐Bravo Kharla Andreina³,Raja Soosaimarian Peter⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamilnadu India

2. Department of Computer Science and Engineering Manonmaniam Sundaranar University Tirunelveli Tamilnadu India

3. School of Engineering and Technology Universidad Internacional de La Rioja Logroño Spain

4. Department of Computer Science and Engineering Vellore Institute of Technology Vellore Tamilnadu India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13024

Reference34 articles.

1. Crop recommendation system to maximize crop yield in Ramtek region using machine learning, international journal of scientific research;Anantha Reddy D.;Science and Technology,2019

2. Soil based fertilizer recommendation system using internet of things;Bodake K.;MVP Journal of Engineering Sciences,2018

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