The Internet of Things (IOT) in Smart Agriculture Monitoring



Abstract Views
704

Downloads
731

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Jan 16, 2022
Published Feb 15, 2022
10.24018/compute.2022.2.1.49

Abstract viewed = 704 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

Regardless of how the public perceives agriculture, the reality is that today's agriculture industry is more data-driven, precise, and sophisticated than ever before. The rapid rise of Internet-of-Things (IoT)-based technologies has transformed practically every industry, including "smart agriculture," which has moved away from statistical to quantitative techniques. Smart agriculture allows for more efficient fertilizer use and less water waste. The goal of the smart agribusiness research is to create a dynamic and emotionally supportive farm management network. IoT is being used in agriculture to learn about the agricultural field by using sensors for field monitoring and control. Sensors are used to acquire a better understanding of the crop field for monitoring, field control, and other applications. We'll look at how Internet of Things architectures aid farm fields in this research. The entire Internet of Things (IoT) Solicitations in Agriculture, as well as how they work, are provided. According to the report, IoT can also be used to fill in gaps in agriculture. Technology scalability should be encouraged without jeopardizing existing infrastructures functionality. The current state of Internet of Things (IoT) solicitations in agricultural, as well as future projections, are discussed in this article.

Keywords: Internet-of-Things (IoT), LeenaBOT, sensors, smart agriculture

References

  1. R.Satheesh Kumar, D. Kanimozhi, S. Saravanan. An Efficient Control Scheme for Wind Farm Using Back to Back Converter. International Journal of Engineering Research & Technology. 2013; 2(9): 3282- 3289.
     Google Scholar
  2. Prakashraj K, Vijayakumar G, Saravanan S, Saranraj S. IoT Based Energy Monitoring and Management System for Smart Home Using Renewable Energy Resources. International Research Journal of Engineering and Technology. 2020; 7(2): 1790-1797.
     Google Scholar
  3. Mohammed Siddi J, Senthil Kumar A, Saravanan S, Swathisriranjani M. Hybrid Renewable Energy Sources for Power Quality Improvement with Intelligent Controller. International Research Journal of Engineering and Technology. 2020; 7(2): 1782-1789.
     Google Scholar
  4. Kanade P, Ashwini P. Smart Agriculture Robot for Sowing Seed. International Journal of Engineering Science and Computing. 2021; 11(1): 27563-27565.
     Google Scholar
  5. Raveendar S, Manikandan PM, Saravanan S, Dhinesh V, Swathisriranjani M. Flyback Converter Based BLDC Motor Drives for Power Device Applications. International Research Journal of Engineering and Technology. 2020; 7(2): 1632-1637.
     Google Scholar
  6. Kanade P, Prasad JP. Arduino based Machine Learning and IoT Smart Irrigation System. International Journal of Soft Computing and Engineering. 2021; 10(4): 1-5.
     Google Scholar
  7. Ayaz M, Ammad-Uddin M, Sharif Z, Mansour A, Aggoune E,-H.M. Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. IEEE Access. 2019; 7, 129551–129583.
     Google Scholar
  8. Navulur S, Sastry MN, Prasad G. Agricultural Management through Wireless Sensors and Internet of Things International Journal of Electrical and Computer Engineering. 2017; 7(6) :3492-3499.
     Google Scholar
  9. Sisinni E, Saifullah A, Han S, Jennehag U, Gidlund M. Industrial Internet of Things: Challenges, Opportunities, and Directions. IEEE Transactions on Industrial Informatics. 2018; 14(11): 4724-4734.
     Google Scholar
  10. Elijah O, Rahman TA, Orikumhi I, Leow CY, Hindia MN. An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE Internet of Things Journal. 2018; 5(5): 3758-3773.
     Google Scholar
  11. Vignesh TR, Swathisriranjani M, Sundar R, Saravanan S, Thenmozhi T. Controller for Charging Electric Vehicles Using Solar Energy. Journal of Engineering Research and Application. 2020; 10(1): 49-53.
     Google Scholar
  12. Kanade P, Prasad JP. Machine Learning Techniques in Plant Conditions Classification and Observation. IEEE 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). 2021, 729-734.
     Google Scholar
  13. Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials. 2015; 17(4): 2347-2376.
     Google Scholar
  14. Kanade P, Alva P, Kanade S, Ghatwal S. Automated Robot ARM using Ultrasonic Sensor in Assembly Line. International Research Journal of Engineering and Technology (IRJET). 2020; 7(12): 615-620.
     Google Scholar
  15. Atzori L, Iera A, Morabito G. The Internet of Things: A survey. Computer Networks. 2010; 54(15): 2787-2805.
     Google Scholar
  16. Kanade P, Alva P, Prasad JP, Kanade S. Smart Garbage Monitoring System using Internet of Things(IoT). IEEE 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). 2021: 330-335.
     Google Scholar
  17. Ayaz M, Ammaduddin M. Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. IEEE Access. 2019; 7.
     Google Scholar