Detailed Study of AI/ML in Smart Agriculture

Authors

  • Anshika Agarwal  Ph.D. Scholar, Department of CSE, Invertis University, Bareilly, India
  • Y. D. S. Arya  Professor, Department of CSE, Invertis University, Bareilly, India
  • Gaurav Agarwal  Assistant Professor, Department of CSE, SRMSCET, Bareilly, India
  • Shruti Agarwal  Assistant Professor, Department of CSE, SRMSCET, Bareilly, India

DOI:

https://doi.org//10.32628/CSEIT21734

Keywords:

Artificial Intelligence, Machine Learning, fuzzy logic, Artificial Neural Network, IOT, Precision Farming

Abstract

This work explores the tools and technologies used in smart agriculture. Artificial Intelligence and Machine Learning techniques, including basic block models that are used to do smart agriculture. How can we use fuzzy logic and Artificial Neural Network, is also covered in this paper. We have explored some of the IOT based irrigation systems including crop prediction systems. The necessary hardware, software and sensors that can be used to make precision agriculture are also included. The main motto of this paper is to get a detailed literature review that is required for smart agriculture.

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Published

2021-06-30

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Section

Research Articles

How to Cite

[1]
Anshika Agarwal, Y. D. S. Arya, Gaurav Agarwal, Shruti Agarwal, " Detailed Study of AI/ML in Smart Agriculture, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.130-145, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT21734