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Improve crop production through wsn: an approach of smart agriculture

Document Type : Original Article

Authors

1 Department of Computer Science and Engineering, OEC Engineering College, OD, India.

2 Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.

3 Department of Mathematics, University of Alabama at Birmingham, Birmingham, USA.

Abstract

The goal is to build and create an agricultural monitoring system that uses a wireless sensor network to boost farming production and quality without having to manually monitor it all of the time. In agriculture, temperature, humidity, and carbon dioxide levels are the most critical elements affecting plant productivity, growth, and quality. As a result, this system measures these characteristics in the fields on a regular basis, allowing farmers or agriculture specialists to view the readings on the web at the same time. Furthermore, if a crucial change in one of the metrics occurs, an agriculture specialist will notify the farmer through mobile text message and e-mail. The farmer can study the best environmental conditions for maximum crop productivity, greater productivity, and significant energy savings by continuously monitoring several environmental data.

Keywords

References
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Big Data and Computing Visions
Volume 1, Issue 2
June 2021
Pages 71-82
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History
  • Receive Date: 14 March 2021
  • Revise Date: 27 April 2021
  • Accept Date: 10 May 2021
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