Skip to main content

Effective Contribution of Internet of Things (IoT) in Smart Agriculture: State of Art

  • Conference paper
  • First Online:
e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2021)

Abstract

The popularization of the Internet of Things (IoT) (IoT) has made it possible to optimize and significantly improve the agricultural system. Thanks to this technology, farmers and ranchers are more confident in running their farms, which are now smart farms. By using New Information and Communication Technologies as a catalyst and essential facilitator for the development of this new style of agriculture. Several devices and mechanisms are used in intelligent systems related to agriculture. In this article, we review 30 scientific works produced and published by certain researchers and which sufficiently review the different dof management of smart farms without being exhaustive. This study aims to present a state of the art of integrating Internet of Things (IoT) into the agricultural environment to understand the improvements it brings and detect future smart agriculture issues. It turns out that smart agriculture is really at the heart of researchers, farmers, producers, and even states. The results of this state of the art show us that various devices and technologies are deployed in smart farms to ensure better performance. Depending on requirements and realities, each intelligent system should be adapted. This reflection helps to present directions for the development of intelligent farms that would be applicable and adaptable locally for the rest of our work.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ammar, M., et al.: Internet of Things: a survey on the security of IoT frameworks. J. Inf. Secur. Appl. 38, 8–27 (2018)

    Google Scholar 

  2. Anjanamma, C., Rao, N.S.: An internet of things (iot) system development and implementation of data analytics in agriculture production safety enhancement. Mater. Today: Proc. 58 (2021)

    Google Scholar 

  3. Cicioğlu, M., Çalhan, A.: Smart agriculture with Internet of Things (IoT) in cornfields. Comput. Electr. Eng. 90, 106982 (2021)

    Article  Google Scholar 

  4. Colezea, M., et al.: CLUeFARM: integrated web-service platform for smart farms. Comput. Electron. Agric. 154, 134–154 (2018)

    Article  Google Scholar 

  5. Culibrina, F.B., Dadios, E.P.: Smart farm using wireless sensor network for data acquisition and power control distribution. In: 2015 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). IEEE (2015)

    Google Scholar 

  6. Da Rosa Righi, R., et al.: Towards combining data prediction and Internet of Things (IoT) to manage milk production on dairy cows. Comput. Electron. Agric. 169, 105156 (2020)

    Article  Google Scholar 

  7. De Araujo Zanella, A.R., et al.: Security challenges to smart agriculture: current state, key issues, and future directions. Array 100048 (2020)

    Google Scholar 

  8. Deshpande, A.V.: Design and implementation of an intelligent security system for farm protection from wild animals. Int. J. Sci. Res. (2016). ISSN (Online) 2319-7064

    Google Scholar 

  9. Doshi, J., et al.: Smart farming using IoT, a solution for optimally monitoring farming conditions. Procedia Comput. Sci. 160, 746–751 (2019)

    Article  Google Scholar 

  10. Gan, H., Lee, W.: Development of a navigation system for a smart farm. IFAC-PapersOnLine 51(17), 1–4 (2018)

    Article  Google Scholar 

  11. Garg, S., et al.: A multi-stage anomaly detection scheme for augmenting the security in IoT-enabled applications. Futur. Gener. Comput. Syst. 104, 105–118 (2020)

    Article  Google Scholar 

  12. Halgamuge, M.N., et al.: Internet of Things (IoT) and autonomous control for vertical cultivation walls towards smart food growing: a rEVIEW. Urban Forestry Urban Greening 127094 (2021)

    Google Scholar 

  13. Jung, J., et al.: The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems. Curr. Opin. Biotechnol. 70, 15–22 (2021)

    Article  Google Scholar 

  14. Shanmugam, R., Saranya, K.: IoT based smart farming stick - a survey. Int. J. Adv. Res. 8 (2020)

    Google Scholar 

  15. Kanjilal, D., et al.: Smart farm: extending automation to the farm level. Int. J. Sci. Technol. Res 3(7), 109–113 (2014)

    Google Scholar 

  16. Lin, X., et al.: Advanced energy consumption system for smart farm based on reactive energy utilization technologies. Environ. Impact Assess. Rev. 86, 106496 (2021)

    Article  Google Scholar 

  17. Marsot, M., et al.: An adaptive pig face recognition approach using convolutional neural networks. Comput. Electron. Agric. 173, 105386 (2020)

    Article  Google Scholar 

  18. Muangprathub, J., et al.: IoT and agriculture data analysis for smart farm. Comput. Electron. Agric. 156, 467–474 (2019)

    Article  Google Scholar 

  19. Musat, G.-A., et al.: Advanced services for efficient management of smart farms. J. Parallel Distrib. Comput. 116, 3–17 (2018)

    Article  Google Scholar 

  20. Nieto, A., Rios, R.: Cybersecurity profiles based on human-centric IoT devices. HCIS 9(1), 1–23 (2019). https://doi.org/10.1186/s13673-019-0200-y

    Article  Google Scholar 

  21. O’Grady, M.J., O’Hare, G.M.: Modelling the smart farm. Inf. Process. Agric. 4(3), 179–187 (2017)

    Google Scholar 

  22. Ogada, M.J., et al.: Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya. World Dev. Perspectives 18, 100203 (2020)

    Article  Google Scholar 

  23. Ouafiq, E.M., et al.: IoT in smart farming analytics, big data based architecture. In: Zimmermann, A., Howlett, R.J., Jain, L.C. (eds.) Human Centred Intelligent Systems. SIST, vol. 189, pp. 269–279. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-5784-2_22

    Chapter  Google Scholar 

  24. Pitakphongmetha, J., et al.: Internet of Things (IoT) for planting in smart farm hydroponics style. In: 2016 International Computer Science and Engineering Conference (ICSEC). IEEE (2016)

    Google Scholar 

  25. Ramli, M.R., et al.: IoT-based adaptive network mechanism for reliable smart farm system. Comput. Electron. Agric. 170, 105287 (2020)

    Article  Google Scholar 

  26. Roham, V.S., et al.: Smart farm using wireless sensor network. Int. J. Comput. Appl. 975, 8887 (2015)

    Google Scholar 

  27. Sabu, K.M., Kumar, T.M.: Predictive analytics in agriculture: forecasting prices of arecanuts in Kerala. Procedia Comput. Sci. 171, 699–708 (2020)

    Article  Google Scholar 

  28. Shah-Mansouri, H., Wong, V.W.S.: Hierarchical fog-cloud computing for IoT systems: a computation offloading game. IEEE Internet of Things J. 5(4), 3246–3257 (2018). https://doi.org/10.1109/JIOT.2018.2838022

    Article  Google Scholar 

  29. Sivabalan, K., et al.: IOT based smart farming for effective utilization of water and energy. Int. J. Adv. Sci. Technol. 29(7s), 2496–2500 (2020)

    Google Scholar 

  30. Spanaki, K., et al.: AI applications of data sharing in agriculture 4.0: a framework for role-based data access control. Int. J. Inf. Manag. 59, 102350 (2021)

    Google Scholar 

  31. Wu, W.-H.: Crop plant signaling for real-time plant identification in smart farm: a systematic review and new concept in artificial intelligence for automated weed control. Artif. Intell. Agric. 4, 262–271 (2020). https://doi.org/10.1016/j.aiia.2020.11.001

    Article  Google Scholar 

  32. Torky, M., Hassanein, A.E.: Integrating blockchain and the Internet of Things (IoT) in precision agriculture: analysis, opportunities, and challenges. Comput. Electron. Agric. 105476 (2020)

    Google Scholar 

  33. Yoon, C., et al.: Factors affecting adoption of smart farms: the case of Korea. Comput. Hum. Behav. 108, 106309 (2020)

    Article  Google Scholar 

  34. Zhu, Z., et al.: Quality of e-commerce agricultural products and the safety of the ecological environment of the origin based on 5G Internet of Things (IoT) technology. Environ. Technol. Innov. 22, 101462 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Doriane Micaëla Andeme Bikoro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Andeme Bikoro, D.M., Fosso Wamba, S., Etoua, R.M. (2022). Effective Contribution of Internet of Things (IoT) in Smart Agriculture: State of Art. In: Sheikh, Y.H., Rai, I.A., Bakar, A.D. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-031-06374-9_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06374-9_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06373-2

  • Online ISBN: 978-3-031-06374-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics