Original Article

Agro Informatics Vis-à-Vis Internet of Things (IoT) Integration & Potentialities—An Analysis

Year: 2020 | Month: June | Volume 7 | Issue 1

P.K. Paul Ricardo Saavedra P.S. Aithal3 R.R. Sinha Bashiru Aremu

References (41)

1.Abbasi, A.Z., Islam, N. and Shaikh, Z.A. 2014. A review of wireless sensors and networks’ applications in agriculture. Computer Standards & Interfaces, 36(2): 263-270.

View at Google Scholar

2.Adão, T., Hruška, J., Pádua, L., Bessa, J., Peres, E., Morais, R. and Sousa, J.J. 2017. Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry. Remote Sensing, 9(11): 1110.

View at Google Scholar

3.Adetunji, K.E. and Joseph, M.K. 2018. Development of a Cloud-based Monitoring System using 4duino: Applications in Agriculture. In 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) (pp. 4849-4854). IEEE.

View at Google Scholar

4.Ahmad, T., Ahmad, S. and Jamshed, M. 2015. A knowledge based Indian agriculture: With cloud ERP arrangement. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT) (pp. 333-340). IEEE.

View at Google Scholar

5.Aubert, B.A., Schroeder, A. and Grimaudo, J. 2012. IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology. Decision Support Systems, 54(1): 510-520.

View at Google Scholar

6.Babu, S.M., Lakshmi, A.J. and Rao, B.T. 2015. A study on cloud based Internet of Things: Cloud IoT. In 2015 global conference on communication technologies (GCCT) (pp. 60-65). IEEE.

View at Google Scholar

7.Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R.P. and Shanker, R. 2016. Internet of agriculture: Applying IoT to improve food and farming technology. International Research Journal of Engineering and Technology (IRJET), 3(10): 713-719.

View at Google Scholar

8.Bauckhage, C. and Kersting, K. 2013. Data mining and pattern recognition in agriculture. KI-Künstliche Intelligenz, 27(4): 313-324.

View at Google Scholar

9.Channe, H., Kothari, S. and Kadam, D. 2015. Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Computer Technology & Applications, 6(3): 374-382.

View at Google Scholar

10.Chandraul, K. and Singh, A. 2013. An agriculture application research on cloud computing. International Journal of Current Engineering and Technology, 3(5): 2084-2087.

View at Google Scholar

11.Chandraul, K. and Singh, A. 2013. An agriculture application research on cloud computing. International Journal of Current Engineering and Technology, 3(5): 2084-2087.

View at Google Scholar

12.Ghobakhloo, M., Hong, T.S., Sabouri, M.S. and Zulkifli, N. 2012. Strategies for successful information technology adoption in small and medium-sized enterprises. Information, 3(1): 36-67.

View at Google Scholar

13.Gill, S.S., Chana, I. and Buyya, R. 2017. IoT based agriculture as a cloud and big data service: the beginning of digital India. Journal of Organizational and End User Computing (JOEUC), 29(4): 1-23.

View at Google Scholar

14.Gómez-Chabla, R., Real-Avilés, K., Morán, C., Grijalva, P. and Recalde, T. 2019. IoT Applications in Agriculture: A Systematic Literature Review. In 2nd International Conference on ICTs in Agronomy and Environment (pp. 68-76). Springer, Cham.

View at Google Scholar

15.Goraya, M.S. and Kaur, H. 2015. Cloud computing in agriculture. HCTL Open International Journal of Technology Innovations and Research (IJTIR), 16: 2321- 1814.

View at Google Scholar

16.Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M. and Scatà, M. 2018. A fog computing-based IoT framework for precision agriculture. Journal of Internet Technology, 19(5): 1401-1411.

View at Google Scholar

17.Han, W., Yang, Z., Di, L. and Mueller, R. 2012. CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support. Computers and Electronics in Agriculture, 84: 111-123.

View at Google Scholar

18.Honkavaara, E., Saari, H., Kaivosoja, J., Pölönen, I., Hakala, T., Litkey, P., ... and Pesonen, L. 2013. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. Remote Sensing, 5(10): 5006-5039.

View at Google Scholar

19.Kamble, S.S., Gunasekaran, A. and Gawankar, S.A. 2020. Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219: 179-194.

View at Google Scholar

20.Kajol, R. and Akshay, K.K. 2018. Automated Agricultural Field Analysis and Monitoring System Using IOT. International Journal of Information Engineering and Electronic Business, 11(2): 17.

View at Google Scholar

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

View at Google Scholar

22.Liu, S., Guo, L., Webb, H., Ya, X. and Chang, X. (2019). Internet of Things monitoring system of modern eco-agriculture based on cloud computing. IEEE Access, 7: 37050-37058.

View at Google Scholar

23.Manos, B., Polman, N. and Viaggi, D. 2011. Agricultural and environmental informatics, governance and management: Emerging research applications. Z. Andreopoulou (Ed.). IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA).

View at Google Scholar

24.Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A. and Nillaor, P. 2019. IoT and agriculture data analysis for smart farm. Computers and Electronics in Agriculture, 156: 467-474.

View at Google Scholar

25.Na, A. and Isaac, W. 2016. Developing a human-centric agricultural model in the IoT environment. In 2016 International Conference on Internet of Things and Applications (IOTA) (pp. 292-297). IEEE.

View at Google Scholar

26.Nandyala, C.S. and Kim, H.K. 2016. Green IoT agriculture and healthcare application (GAHA). International Journal of Smart Home, 10(4): 289-300.

View at Google Scholar

27.Nayyar, A. and Puri, V. 2016. Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino, cloud computing & solar technology. In Proc. of The International Conference on Communication and Computing Systems (ICCCS-2016) (pp. 9781315364094-121).

View at Google Scholar

28.Ojha, T., Misra, S. and Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Computers and Electronics in Agriculture, 118: 66-84.

View at Google Scholar

29.Othman, M.F. and Shazali, K. 2012. Wireless sensor network applications: A study in environment monitoring system. Procedia Engineering, 41: 1204-1210.

View at Google Scholar

30.Ozdogan, B., Gacar, A. and Aktas, H. 2017. Digital agriculture practices in the context of agriculture 4.0. Journal of Economics Finance and Accounting, 4(2): 186-193.

View at Google Scholar

31.Pau, P.K., Ghosh, M. and Chaterjee, D. 2014. Information Systems & Networks (ISN): Emphasizing Agricultural Information Networks with a case Study of AGRIS. Scholars Journal of Agriculture and Veterinary Sciences, 1(1): 38-41.

View at Google Scholar

32.Paul, P.K. 2013. Information and Knowledge Requirement for Farming and Agriculture Domain. Int. J. Soft Compu. Bio Informatics, 4(2): 80-84.

View at Google Scholar

33.Paul, P.K. et al. 2015. Agricultural Problems in India requiring solution through Agricultural Information Systems: Problems and Prospects in Developing Countries. Int. J. Information Science and Computing, 2(1): 33-40.

View at Google Scholar

34.Paul, P.K. et al. 2016. Cloud Computing and Virtualization in Agricultural Space: A Knowledge Survey. Palgo J. Agriculture, 4(2): 202-206.

View at Google Scholar

35.Paul, P.K. et al. 2015. Information and Communication Technology and Information: their role in Tea Cultivation and Marketing in the context of Developing Countries—A Theoretical Approach. Current Trends in Biotechnology and Chemical Research, 5(2): 155-161.

View at Google Scholar

36.Prasad, R., Kumar, V. and Prasad, K.S. 2014. Nanotechnology in sustainable agriculture: present concerns and future aspects. African Journal of Biotechnology, 13(6): 705-713.

View at Google Scholar

37.Rajeswari, S., Suthendran, K. and Rajakumar, K. 2017. A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics. In 2017 International Conference on Intelligent Computing and Control (I2C2) (pp. 1-5). IEEE.

View at Google Scholar

38.Rezník, T., Charvát, K., Lukas, V., Charvát Jr, K., Horáková, Š. and Kepka, M. 2015. Open data model for (precision) agriculture applications and agricultural pollution monitoring. In EnviroInfo and ICT for Sustainability 2015. Atlantis Press.

View at Google Scholar

39.TongKe, F. 2013. Smart agriculture based on cloud computing and IOT. Journal of Convergence Information Technology, 8(2): 210-216.

View at Google Scholar

40.Tsekouropoulos, G., Andreopoulou, Z., Koliouska, C., Koutroumanidis, T. and Batzios, C. 2013. Internet functions in marketing: multicriteria ranking of agricultural SMEs websites in Greece. Agrárinformatika/ journal of agricultural informatics, 4(2): 22-36

View at Google Scholar

41.Zamora-Izquierdo, M.A., Santa, J., Martínez, J.A., Martínez, V. and Skarmeta, A.F. 2019. Smart farming IoT platform based on edge and cloud computing. Biosystems engineering, 177: 4-17.

View at Google Scholar

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