The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming

Year : 2024 | Volume :14 | Issue : 02 | Page : –
By

Shrikaant Kulkarni,

  1. Adjunct Professor Victorian Institute of Technology Sydney Australia

Abstract

Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, and crop health, through a network of linked devices and sensors.. This data, when analyzed using advanced big data techniques, offers valuable insights that drive informed decision-making and efficient farm management. Precision farming is one of the main advantages of the Internet of Things in agriculture. Applying resources like water, fertilizer, and pesticides precisely according to the requirements of crops at various growth phases is known as precision farming. ages of growth. IoT devices, including soil sensors, weather stations, and drones equipped with multispectral imaging, collect granular data that enables farmers to apply inputs precisely where and when they are needed. This targeted approach minimizes the overuse of resources, reduces environmental impact, and leads to cost savings and higher crop yields.

Keywords: Internet of Things, IoT, sustainable agriculture, precision farming, big data, resource conservation, predictive analytics, environmental impact, food security, smart farming.

[This article belongs to Journal of Instrumentation Technology & Innovations(joiti)]

How to cite this article: Shrikaant Kulkarni. The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming. Journal of Instrumentation Technology & Innovations. 2024; 14(02):-.
How to cite this URL: Shrikaant Kulkarni. The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming. Journal of Instrumentation Technology & Innovations. 2024; 14(02):-. Available from: https://journals.stmjournals.com/joiti/article=2024/view=159991



References

  1. P. Kaur, J. Birla, and J. Ahlawat, “Generations of wireless technology,” International Journal of Computer Science and Management Studies, vol. 11, no. 02, pp. 435–441, 2011.
  2. Afolabi, E. Olawole, F. Taofeek-Ibrahim, T. Mohammed, and O. Shogo, “Evolution of wireless networks technologies, history and emerging technology of 5g wireless network: a review,” J. Telecommun. Syst. Manage., vol. 7, p. 1000176, 2018.
  3.  Attaran, “The impact of 5g on the evolution of intelligent automation and industry digitization,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, 02 2021.
  4.  Philip, C. Cottrill, J. Farrington, F. Williams, and F. Ashmore, “The digital divide: Patterns, policy and scenarios for connecting the ‘final few’ in rural communities across great britain,” Journal of Rural Studies, vol. 54, pp. 386–398, 2017. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0743016716306799
  5. J. Love, R. W. Heath, V. K. N. Lau, D. Gesbert, B. D. Rao, and M. Andrews, “An overview of limited feedback in wireless communication systems,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 8, pp. 1341–1365, 2008.
  6. -F. Chen, X.-J. Chen, and C.-M. Peng, “Advanting throughput antenna structure for 4×4 mimo wifi 6 mini pc applications,” in 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, 2020, pp. 1419–1420.
  7. Said Mohamed, A. Belal, S. Kotb Abd-Elmabod, M. A. El-Shirbeny, A. Gad, and M. B. Zahran, “Smart farming for improving agricultural management,” The Egyptian Journal of Remote Sensing and Space Science, vol. 24, no. 3, Part 2, pp. 971–981, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1110982321000582
  8. Cilfone, L. Davoli, L. Belli, and G. Ferrari, “Wireless mesh networking: An iot-oriented perspective survey on relevant technologies,” Future Internet, vol. 11, no. 4, 2019. [Online]. Available: https://www.mdpi.com/1999-5903/11/4/99
  9. Bendigeri, J. Mallapur, and S. Kumbalavati, Real-Time Monitoring of Crop in Agriculture Using Wireless Sensor Networks, 02 2021, pp. 773–785.
  10. William, G. Sharma, K. Kapil, P. Srivastava, A. Shrivastava and R. Kumar, “Automation Techniques Using AI Based Cloud Computing and Blockchain for Business Management,” 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates, 2023, pp. 1-6, doi: 10.1109/ICCAKM58659.2023.10449534.
  11. Nayak, C. ., William, P. ., Kumar, R. ., Deepak, A. ., Yadav, K. ., Rao, A. L. N. ., Srivastava, A. ., & Shrivastava, A. . (2024). Edge Cloud Server Deployment with Machine Learning for 6G Internet of Things. International Journal of Intelligent Systems and Applications in Engineering, 12(16s), 328 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4826
  12. Hegde, S. K. ., William, P. ., Basvant, M. S. ., Deepak, A. ., Badhoutiya, A. ., Rao, A. L. N. ., Srivastava, A. ., & Shrivastava, A. . (2024). Energy-Efficient Bio-Inspired Hybrid Deep Learning Model for Network Intrusion Detection Based on Intelligent Decision Making. International Journal of Intelligent Systems and Applications in Engineering, 12(16s), 306 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4823
  13. Rawat, Romil, Shrikant Telang, P. William, Upinder Kaur, and Om Kumar CU, eds. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence. IGI Global, 2022.
  14. Yogeesh, P. William, Sensor-enabled biomedical decision support system using deep learning and fuzzy logic, In Advances in Ubiquitous Sensing Applications for Healthcare, Deep Learning Applications in Translational Bioinformatics, Academic Press, Volume 15, 2024, Pages 33-53, ISSN 15, ISBN 9780443222993, https://doi.org/10.1016/B978-0-443-22299-3.00003-7.
  15. William, P., Rageeb, M., Boina, M.R., Lakshmi, T.R.V., Sharma, A., Marriwala, N.K. (2024). Empirical Analysis of Machine Learning in Enhancing the E-Business Through Structural Equation Modeling. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_45
  16. William, P., Chinthamu, N., Saxena, A., Lakshmi, T.R.V., Tiwari, M. (2024). Integration of Secure Data Communication with Wireless Sensor Network Using Cryptographic Technique. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_46
  17. Chhabra, G.S., William, P., Lanke, G.R., Jain, K., Lakshmi, T.R.V., Varshney, N. (2024). Comparative Analysis of Data Mining Based Performance Evaluation Using Hybrid Deep Learning Approach. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_47
  18. Khatkale, P.B., William, P., Oyebode, O.J., Sharma, A., Kumari, V., Singh, V. (2024). Probing of Instructional Data Mining Effectiveness in Decision-Making for Industrial and Educational Applications. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_48
  19. William, P., Chinthamu, N., Chiranjivi, M., Vijaya Lakshmi, T.R., Kumar, R., Marriwala, N.K. (2024). Assessment of Wireless Sensor Networks Integrated with Various Cluster-Based Routing Protocols. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_49
  20.  Azfar, A. Nadeem, and A. Basit, “Pest detection and control techniques using wireless sensor network: A review,” Journal of Entomology and Zoology Studies, vol. 3, no. 2, pp. 92–99, 2015.
  21. Wolfert S, Isakhanyan G. Sustainable agriculture by the Internet of Things–A practitioner’s approach to monitor sustainability progress. Computers and Electronics in Agriculture. 2022 Sep 1;200:107226.
  22. Kamarianakis Z, Perdikakis S, Daliakopoulos IN, Papadimitriou DM, Panagiotakis S. Design and Implementation of a Low-Cost, Linear Robotic Camera System, Targeting Greenhouse Plant Growth Monitoring. Future Internet. 2024 Apr 23;16(5):145.
  23. Channe H, Kothari S, Kadam D. Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Computer Technology & Applications. 2015 May;6(3):374-82.
  24. Sonka S. Big data: fueling the next evolution of agricultural innovation. Journal of Innovation Management. 2016 May 4;4(1):114-36.
  25. Pantazi XE, Moshou D, Bochtis D. Intelligent data mining and fusion systems in agriculture. Academic Press; 2019 Oct 8.
  26. Kshetri N. Big data׳ s impact on privacy, security and consumer welfare. Telecommunications Policy. 2014 Dec 1;38(11):1134-45.
  27. Kumar P, Hendriks T, Panoutsopoulos H, Brewster C. Investigating FAIR data principles compliance in horizon 2020 funded Agri-food and rural development multi-actor projects. Agricultural Systems. 2024 Feb 1;214:103822.
  28. Pierce P, Andersson B. Challenges with smart cities initiatives–A municipal decision makers’ perspective.

 


Regular Issue Subscription Original Research
Volume 14
Issue 02
Received June 4, 2024
Accepted June 29, 2024
Published July 15, 2024

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