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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM18730

IOT BASED SMART AGRICULTURE MONITORING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM18730

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

SKD

Salve Kaveri Dattatrey

PGM

Pawar Gitanjali Manohar

GPA

Gawali Pooja Anil

PCS

Prof. Choube S.H

PGP

Prof.Chavan Ganesh Pundlik

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Abstract

The population increase, climate change, and shortage of resources are posing hitherto unheard-of difficulties to the agriculture sector. The application of Internet of Things (IoT) technology to agriculture, or “smart agriculture,” has become a game-changing response as a result. An IoT-based Smart Agriculture System intended to transform conventional farming methods is presented in-depth in this paper. In order to maximise crop output, preserve resources, and advance sustainable farming practises, the suggested system makes use of sensor technology, data analytics, and real-time monitoring. Numerous sensors for monitoring temperature, nutrient levels, and soil moisture are among the main elements of the Internet of Things-based Smart Agriculture System. These sensors’ wireless transmission of data to a centralised cloud-based platform, where sophisticated data analytics algorithms process the data, is done. This platform is accessible to users via

KEYWORDS

Internet of Things (IoT) Sensor Technology Data Analytics Sustainability Crop Monitoring Agricultural Productivity.

Cite This Article

Salve Kaveri Dattatrey, Pawar Gitanjali Manohar, Gawali Pooja Anil, Prof. Choube S.H, Prof.Chavan Ganesh Pundlik, "IOT BASED SMART AGRICULTURE MONITORING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023.

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Publication Date

10/30/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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

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