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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM14295

IoT Based Smart Agricultural System for Efficient Crop Growth

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM14295

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM14295

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

PPJ

Prof. Pradheepa J

PNSR

Prof. Naveena S. R

SS

Sanjana Srinivas

PS

Pallavi S

MBJ

Manoj B. J

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Abstract

Population growth has made agriculture the most important growth sector in the world. The challenge in the agricultural industry right now is to improve the efficiency and quality of agriculture without regular physical monitoring to meet the rapidly increasing food demand. Along with population growth, climatic condition is also a major challenge in agriculture. The purpose of this study is to propose an internet-based smart agricultural model of things that uses clustering to deal with adverse conditions. This model uses different types of sensors for different purposes, such as soil moisture, barometric pressure, rainfall detection, and humidity sensors. The data is collected in the cloud and calculated automatically. Intelligent agriculture is automatically taken over by plant management, useful data collection and analysis. The purpose of this white paper is to implement the Internet of Things (IoT) to monitor humidity, soil conditions, temperature and field water supply, water levels, and climatic conditions. The IoT-based smart farming system envisioned in this report is integrated with a variety of sensors and a Wi-Fi module that produces live data feeds that can be accessed online.

KEYWORDS

Smart farming IOT Clustering Sensors Cloud.

Cite This Article

Prof. Pradheepa J, Prof. Naveena S. R, Sanjana Srinivas, Pallavi S, Manoj B. J, "IoT Based Smart Agricultural System for Efficient Crop Growth," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022. https://doi.org/10.55041/IJSREM14295

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Publication Date

6/5/2022

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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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