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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21286

IOT Based Smart Agriculture System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21286

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GSR

Gaurav Singh Rawat

As

Anshul sharma

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Abstract

Agriculture has a long history and is a very traditional occupation. Agriculture has undergone numerous changes since it was first developed in an effort to increase crop quality and the product. When equipment and new tools like irrigation systems, harvesters, and farm cleaning equipment were introduced in ancient agriculture, where these tasks were primarily carried out by humans and animals, some of the first indicators of improvement were observed. Climate disasters (such storms or extreme heat) and natural disasters (like pests and plant diseases) eventually have an impact on agriculture. In order to improve the precision of agriculture, the Internet of Things (IoT) was proposed as the next step in the development of the agricultural sector. Such a system can help by providing data on plant growth,, plant ailments and advantageous qualities of the soil for plants. In order to monitor variables that directly affect plants, this paper outlines a potential solution for a dependable Internet of Things-based programme that leverages Libelium for Smart Agriculture. In order to assist farmers in growing healthy crops, the monitoring system also intends to control irrigation-related irrigation difficulties and analyse the outcomes of the measured agricultural parameters.

KEYWORDS

Arduino IOT sensors

Cite This Article

Gaurav Singh Rawat, Anshul sharma, "IOT Based Smart Agriculture System," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21286

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Publication Date

5/26/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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