SMART FARMER – IoT Enabled Smart Farming Application

Authors

  • Dr. A. Velayudham  Professor & Head, Department of C.S.E, Jansons Institute of Technology, Coimbatore, India
  • Bharath Narayanan S  UG Student, Department of C.S.E, Jansons Institute of Technology, Coimbatore, India
  • Bharathi A  UG Student, Department of C.S.E, Jansons Institute of Technology, Coimbatore, India
  • Kavi Priya R  UG Student, Department of C.S.E, Jansons Institute of Technology, Coimbatore, India
  • Keerthana K  UG Student, Department of C.S.E, Jansons Institute of Technology, Coimbatore, India

DOI:

https://doi.org/10.32628/IJSRSET2310262

Keywords:

IoT, LED Display, PH Color Sensor ,Soil Moisture Sensor, Humidity Sensor, DHT11 Sensor, NodeMCU esp32.

Abstract

The Agriculture Parameters are utilizing an IOT Technology and system availability that draw in these objects to assemble and deal information. Agriculture is the primary occupation in our country for ages. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. But now due to migration of people from rural to urban there is hindrance in agriculture. To overcome this problem we go for smart agriculture techniques using IOT. provide the information about the various environmental factors. Monitoring the environmental factors is not the complete solution.

References

  1. AnjumAwasthi& S.R.N Reddy, “Monitoring for Precision Agriculture using Wireless Sensor Network-A Review”, Global Journal of Computer Science and Technology Network, Web &Security,ISSN: 0975-4350.Year 2013
  2. ArunaG,G.GangaLawanya,V.AnbuNivetha,“Internet Of Things Based Innovative Agriculture Automation Using AGRIBOT” International Journal of Electronics and Communication Engineering, ISSN : 2348 – 8549,March 2017
  3. Barshe P.S.B and P.D.K. Chitre, “AgricultureSystem based on OntologyAgroSearch”,(IJETAE) International Journal of Emerging Technology and Advanced Engineering, vol. 2,no. 8, 2012.
  4. Braun, R. Wichert, A. Kuijper, and D. W. Fellner, “A benchmarking model for sensors in smart environments,” in Ambient Intelligence:European Conference, (AmI '14), Eindhoven, The Netherlands, November 2014. Revised Selected Papers, E. Aarts, B. de Ruyter, P. Markopoulos et al., Eds., pp. 242–257, 2014
  5. Farooq M.U, “A Review on Internet ofThings (IoT)”, Muhammad Waseem, SadiaMazhar, International Journal of Computer Applications Volume 113 - No. 1, March 2015.
  6. InfantialRubala. J, D. Anitha, “AgricultureField Monitoring using Wireless Sensor Networks to Improving Crop Production” International Journal of Engineering Science and Computing ,March 2017.
  7. Jianfa Xia, Zhengzhou Tang, Xiaoqiu Shi, Lei Fan, Huaizhong Li ,"An environment monitoring for precise agriculture, based on wireless sensors Network", IEEE, 2011International Journal of Pure and Applied Mathematics Special Issue 14333
  8. Jiber, Y. Harroud, H.; Karmouch, A, "Precision agriculture monitoring framework based on WSN," Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International, vol., no.pp.2015, 2020, 4-8 July 2011.
  9. Joaquin Gutiérrez, Juan Francisco Villa-Medina, Alejandra Nieto-Garibay, and Miguel ÁngelPorta-Gándara, “Automated Irrigation System Using a Wireless Sensor Network and GPRS module”, IEEE Transaction on instrumentation and measurement 2013.
  10. Lei Xiao, Lejiangguo, The Realization of Precision Agriculture Monitoring System Based on Wireless Sensor Network, 2010 IEEE.
  11. Muthupandian S, S.Vigneshwaran, R.Ranjitsabarinath, Y.Manojkumarreddy, “IOT Based Crop-Field Monitoring and Irrigation Automation”, International Journal of Advanced Research Trends in Engineering and Technology, ISSN 2394-3777, April 2017
  12. Nikesh Gondchawar1, Prof. Dr. R. S. Kawitkar2 “IoT based Smart Agriculture” International Journal of Advanced Research in Computer and Communication Engineering ISSN 2319 5940 June 2016
  13. Parameswaran.G, K.Sivaprasath, “Arduino Based Smart Drip Irrigation System Using Internet of Things”, International Journal of Engineering Science and Computing, ISSN 2321 3361, May 2016.
  14. Pham D T, S SDimov, and C D Nguyen,”Selection of K inK-means clustering” Mechanical Engineering Science, Proc. IMechE Volume. 219 Part C: 2005, pp. 103– 119G.
  15. Ramakrishnan, M. and Suchithra, M. "A Review on Semantic Web Service Discovery Algorithms." International Journal of Soft Computing Medwell Publishing (Pakistan) Volume: 8 Issue: 4 pp: 313-320 Year: 2013 SNIP: 0.496 SJR: 0.029 ISSN: 1816-9503.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. A. Velayudham, Bharath Narayanan S, Bharathi A, Kavi Priya R, Keerthana K "SMART FARMER – IoT Enabled Smart Farming Application" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 2, pp.479-486, March-April-2023. Available at doi : https://doi.org/10.32628/IJSRSET2310262