Skip to main content
SpringerLink
Log in
Book cover

Multimedia Big Data Computing for IoT Applications pp 391–416Cite as

Recent Advancements in Multimedia Big Data Computing for IoT Applications in Precision Agriculture: Opportunities, Issues, and Challenges

  • Chapter
  • First Online:

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 163))

Abstract

This chapter aims to present a survey on the existing techniques and architectures of Multimedia Big Data (MMBD) computing for Internet of Things (IoT) applications in Precision Agriculture, along with the opportunities, issues, and challenges it poses in the context. As a consequence of the digital revolution and ease of availability of electronic devices, a massive amount of data is being acquired from a variety of sources. On one hand, this overwhelming quantity of multimedia data poses several challenges, from its storage to transmission, and on the other, it presents an opportunity to provide an insight into the business trends, intelligence and render rich decision support. One of the key applications of MMBD Computing is Precision Agriculture. The chapter focuses on major agricultural applications, cyber-physical systems for smart farming, multimedia data collection approaches, and various IoT sensors along with wireless communication technologies employed in the field of Precision Agriculture.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   119.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. A. Kumari, S. Tanwar, S. Tyagi, N. Kumar, M. Maasberg, K.K.R. Choo, Multimedia big data computing and Internet of things applications: a taxonomy and process model. J. Netw. Comput. Appl. 124, 169–195 (2018)

    Article  Google Scholar 

  2. T. Iizumi, N. Ramankutty, How do weather and climate influence cropping area and intensity? Global Food Secur. 4, 46–50 (2015)

    Article  Google Scholar 

  3. Z. Wang, S. Mao, L. Yang, P. Tang, A survey of multimedia big data. China Commun. 15(1), 155–176 (2018)

    Article  Google Scholar 

  4. J. Vora, P. Italiya, S. Tanwar, S. Tyagi, N. Kumar, M.S. Obaidat, K.F. Hsiao, Ensuring privacy and security in E-Health records, in 2018 International Conference on Computer, Information and Telecommunication Systems (CITS) (IEEE, 2018) pp. 192–196

    Google Scholar 

  5. J. Vora, P. DevMurari, S. Tanwar, S. Tyagi, N. Kumar, M.S. Obaidat, Blind signatures based secured E-Healthcare system, in 2018 International Conference on Computer, Information and Telecommunication Systems (CITS) (IEEE, 2018) pp. 177–181

    Google Scholar 

  6. S. Tanwar, M.S. Obaidat, S. Tyagi, N. Kumar, Online signature-based biometric recognition, in Biometric-Based Physical and Cybersecurity Systems (Springer, Cham, 2018) pp. 255–285

    Google Scholar 

  7. S. Tanwar, S. Tyagi, N. Kumar, M.S. Obaidat, Ethical, legal, and social implications of biometric technologies, in Biometric-Based Physical and Cybersecurity Systems (Springer, Cham, 2018) pp. 535–569

    Google Scholar 

  8. S. Pouyanfar, Y. Yang, S.C. Chen, M.L. Shyu, S.S. Iyengar, Multimedia big data analytics: a survey. ACM Comput. Surv. (CSUR) 51(1), 10 (2018)

    Article  Google Scholar 

  9. Food and Agriculture Organization of the United Nations. http://www.fao.org

  10. Y. Liu, Y. Peng, B. Wang, S. Yao, Z. Liu, Review on cyber-physical systems. IEEE/CAA J. Autom. Sin. 4(1), 27–40 (2017)

    Article  Google Scholar 

  11. S. Verma, A. Chug, A.P. Singh, Prediction models for identification and diagnosis of tomato plant diseases, in Advances in Computing, Communications and Informatics (ICACCI), 2018 International Conference (IEEE, 2018), pp. 1557–1563

    Google Scholar 

  12. C.R. Rad, O. Hancu, I.A. Takacs, G. Olteanu, Smart monitoring of potato crop: a cyber-physical system architecture model in the field of precision agriculture. Agric. Agric. Sci. Proced. 6, 73–79 (2015)

    Google Scholar 

  13. R. Fresco, G. Ferrari, Enhancing precision agriculture by internet of things and cyber physical systems. Atti Soc. Tosc. Sci. Nat. Mem. Supplemento 125, 53–60, (2018)

    Google Scholar 

  14. A. Kumari, S. Tanwar, S. Tyagi, N. Kumar, Fog computing for healthcare 4.0 environment: opportunities and challenges. Comput. Electr. Eng. 72, 1–13 (2018)

    Article  Google Scholar 

  15. S.S. Gill, I. Chana, R. Buyya, IoT based agriculture as a cloud and big data service: the beginning of digital India. J. Organ. End User Comput. (JOEUC) 29(4), 1–23 (2017)

    Article  Google Scholar 

  16. L. Tan, Cloud-based decision support and automation for precision agriculture in orchards. IFAC-PapersOnLine 49(16), 330–335 (2016)

    Article  Google Scholar 

  17. X. Pham, M. Stack, How data analytics is transforming agriculture. Bus. Horiz. 61(1), 125–133 (2018)

    Article  Google Scholar 

  18. M. Carolan, Publicising food: big data, precision agriculture, and co-experimental techniques of addition. Sociol. Ruralis 57(2), 135–154 (2017)

    Article  Google Scholar 

  19. S. Tanwar, P. Patel, K. Patel, S. Tyagi, N. Kumar, M.S. Obaidat, An advanced internet of thing based security alert system for smart home, in Computer, Information and Telecommunication Systems (CITS), 2017 International Conference on (IEEE, 2017) pp. 25–29

    Google Scholar 

  20. D. Anurag, S. Roy, S. Bandyopadhyay, Agro-sense: Precision agriculture using sensor-based wireless mesh networks, in First ITU-T Kaleidoscope Academic Conference-Innovations in NGN: Future Network and Services, (IEEE 2008) pp. 383–388

    Google Scholar 

  21. A. Khattab, A. Abdelgawad, K. Yelmarthi, Design and implementation of a cloud-based IoT scheme for precision agriculture, in Microelectronics (ICM), 28th International Conference, (IEEE 2016) pp. 201–204

    Google Scholar 

  22. I. Mohanraj, K. Ashokumar, J. Naren, Field monitoring and automation using IOT in agriculture domain. Procedia Comput. Sci. 93, 931–939 (2016)

    Article  Google Scholar 

  23. T. Baranwal, P.K. Pateriya, Development of IoT based smart security and monitoring devices for agriculture, in Cloud System and Big Data Engineering (Confluence), 6th International Conference (IEEE 2016), pp. 597–602

    Google Scholar 

  24. Z. Liqiang, Y. Shouyi, L. Leibo, Z. Zhen, W. Shaojun, A crop monitoring system based on wireless sensor network. Procedia Environ. Sci. 11, 558–565 (2011)

    Article  Google Scholar 

  25. B. Patil, M.H. Panchal, M.S. Yadav, M.A. Singh, M.D. Patil, Plant Monitoring using image processing, raspberry Pi & Iot, in International Research Journal of Engineering and Technology (IRJET), pp. 1337–1342 (2017)

    Google Scholar 

  26. M. Ryu, J. Yun, T. Miao, I.Y. Ahn, S.C. Choi, J. Kim, Design and implementation of a connected farm for smart farming system, in Sensors, IEEE (IEEE 2015), pp. 1–4

    Google Scholar 

  27. L.I.U. Dan, C. Xin, H. Chongwei, J. Liangliang, Intelligent agriculture greenhouse environment monitoring system based on IOT technology, in Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference (IEEE, 2015), pp. 487–490

    Google Scholar 

  28. G.H. Agrawal, S.G. Galande, R. Shalaka, Leaf disease detection and climatic parameter monitoring of plants using IoT. Int. J. Innov. Res. Sci. Eng. Technol., 9927–9932 (2015)

    Google Scholar 

  29. S.G. Galande, G.H. Agrawal, M.L.S. Rohan, Internet of things implementation for wireless monitoring of agricultural parameters, in International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), pp. 2121–2124. (2015)

    Google Scholar 

  30. B. Majone, F. Viani, E. Filippi, A. Bellin, A. Massa, G. Toller, M. Salucci, Wireless sensor network deployment for monitoring soil moisture dynamics at the field scale. Procedia Environ. Sci. 19, 426–435 (2013)

    Article  Google Scholar 

  31. J. Gutiérrez, J.F. Villa-Medina, A. Nieto-Garibay, M.Á. Porta-Gándara, Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans. Instrum. Meas. 63(1), 166–176 (2015)

    Article  Google Scholar 

  32. B. Zhou, L. Li, Security monitoring for intelligent water-saving precision irrigation system using cloud services in multimedia context. Multimed. Tools Appl., 1–15. (2017)

    Google Scholar 

  33. G. Vellidis, M. Tucker, C. Perry, C. Kvien, C. Bednarz, A real-time wireless smart sensor array for scheduling irrigation. Comput. Electr. Agric. 61(1), 44–50 (2008)

    Article  Google Scholar 

  34. K.N. Bhanu, T.B. Reddy, M. Hanumanthappa, Multi-agent based context aware information gathering for agriculture using wireless multimedia sensor networks. Egypt. Inform. J. (2018)

    Google Scholar 

  35. S.A. Nandhini, R. Hemalatha, S. Radha, K. Indumathi, Web enabled plant disease detection system for agricultural applications using WMSN. Wirel. Pers. Commun. 102(2), 725–740 (2018)

    Article  Google Scholar 

  36. K. Langendoen, A. Baggio, O. Visser, Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture, in Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International (IEEE, 2006) p. 8

    Google Scholar 

  37. T.S.T. Bhavani, S. Begum, Agriculture productivity enhancement system using IOT. Int. J. Theor. Appl. Mech. 12(3), 543–554 (2017)

    Google Scholar 

  38. G.V. Satyanarayana, S.D. Mazaruddin, Wireless sensor based remote monitoring system for agriculture using ZigBee and GPS. Conf. Adv. Commun. Control Syst. 3, 237–241 (2013)

    Google Scholar 

  39. S. Tyagi, M.S. Obaidat, S. Tanwar, N. Kumar, M. Lal, Sensor cloud based measurement to management system for precise irrigation, in GLOBECOM 2017–2017 IEEE Global Communications Conference (IEEE, 2017), pp. 1–6

    Google Scholar 

  40. A.J. Garcia-Sanchez, F. Garcia-Sanchez, J. Garcia-Haro, Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops. Comput. Electr. Agric. 75(2), 288–303 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. USICT GGSIP University, New Delhi, India

    Shradha Verma, Anshul Bhatia, Anuradha Chug & Amit Prakash Singh

Authors
  1. Shradha Verma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anshul Bhatia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anuradha Chug
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Amit Prakash Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shradha Verma .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  2. Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab, India

    Sudhanshu Tyagi

  3. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab, India

    Neeraj Kumar

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Verma, S., Bhatia, A., Chug, A., Singh, A.P. (2020). Recent Advancements in Multimedia Big Data Computing for IoT Applications in Precision Agriculture: Opportunities, Issues, and Challenges. In: Tanwar, S., Tyagi, S., Kumar, N. (eds) Multimedia Big Data Computing for IoT Applications. Intelligent Systems Reference Library, vol 163. Springer, Singapore. https://doi.org/10.1007/978-981-13-8759-3_15

Download citation

Publish with us

Policies and ethics

Search

Navigation