IOT Based Smart Agriculture Monitoring System

Authors

  • Sweta Patel Department of Computer Engineering, Pacific University, Udaipur, Rajasthan, India Author
  • Dr. Hiral Desai Head of Department, Department of Computer Engineering, Pacific School of Engineering, Surat, Gujarat, India Author
  • Prof. Karuna Soni Assistant Professor, Department of Computer Engineering, Pacific University, Udaipur, Rajasthan, India Author
  • Prof. Raju Swami Head of Department, Department of Electrical Engineering, Pacific University, Udaipur, Rajasthan, India Author

DOI:

https://doi.org/10.32628/CSEIT24104102

Keywords:

Internet of Things, Irrigation, Soil Sensor, Temperature and Humidity Sensor

Abstract

India is an agricultural country. Water is the most important resource of agriculture. currently farming accounts for 83% of India's total water consumption. Using various smart farming tools, farmers are actively involved in livestock and crop cultivation. this page presents a concept based on the IoT smart farming system. Advanced technology is used on this home page Smart agriculture through IoT and automation. In this way, the water available for plants is monitored. With sensors, water is provided through irrigation if needed. This project is about how irrigation can be done. For efficient use with IoT. In this proposed method, we use different hardware such as ground sensors, temperature and humidity, direction, rainwater sensors sensitive to different soil conditions and measures the actual size of the sole. The main purpose of this project is to manage water supply. And installation monitoring via smartphone. This page is about irrigation systems. related to Our project help explains how irrigation can be implemented using IoT.

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References

D. V. Lindberg and H. K. H. Lee, “Optimization under constraints by applying an asymmetric entropy measure,” J. Comput. Graph. Statist., vol. 24, no. 2, pp. 379–393, Jun. 2015, doi: 10.1080/10618600.2014.901225.

B. Rieder, Engines of Order: A Mechanology of Algorithmic Techniques. Amsterdam, Netherlands: Amsterdam Univ. Press, 2020.

I. Boglaev, “A numerical method for solving nonlinear integro- differential equations of Fredholm type,” J. Comput. Math., vol. 34, no. 3, pp. 262–284, May 2016, doi: 10.4208/jcm.1512-m2015-0241.

D. V. Lindberg and H. K. H. Lee, “Optimization under constraints by applying an asymmetric entropy measure,” J. Comput. Graph. Statist., vol. 24, no. 2, pp. 379–393, Jun. 2015, doi: 10.1080/10618600.2014.901225. DOI: https://doi.org/10.1080/10618600.2014.901225

B. Rieder, Engines of Order: A Mechanology of Algorithmic Techniques. Amsterdam, Netherlands: Amsterdam Univ. Press, 2020. DOI: https://doi.org/10.2307/j.ctv12sdvf1

I. Boglaev, “A numerical method for solving nonlinear integro- differential equations of Fredholm type,” J. Comput. Math., vol. 34, no. 3, pp. 262–284, May 2016, doi: 10.4208/jcm.1512-m2015-0241. DOI: https://doi.org/10.4208/jcm.1512-m2015-0241

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Published

05-07-2024

Issue

Section

Research Articles

How to Cite

[1]
Sweta Patel, Dr. Hiral Desai, Prof. Karuna Soni, and Prof. Raju Swami, “IOT Based Smart Agriculture Monitoring System”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 4, pp. 18–22, Jul. 2024, doi: 10.32628/CSEIT24104102.

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