Abstract
Food security is a global challenge and agriculture can address this challenge through radical improvements in productivity, efficiency and effectiveness. Internet of Things (IoT) is a major enabler of such improvements. This paper discusses challenges that agricultural industry is facing and proposes a solution based on IoT technology and a specific platform called OpenIoT developed jointly by the EU FP7 OpenIoT consortium. Phenonet is an OpenIoT use case developed by CSIRO, Australia and demonstrates how digital agriculture benefits from deploying the IoT. Experience and lessons from using OpenIoT middleware for Phenonet development are also presented and analysed.
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Prof. Zaslavsky is a visiting Professor at St. Petersburg National Research University of IT, Mechanics and Optics, Russia.
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References
BigData-Startup: John deere revolutionizing farming big data (2013)
Bramley, R.G.V., Janik, L.J.: Precision agriculture demands a new approach to soil and plant sampling and analysis – examples from Australia. Commun. Soil Sci. Plant Anal. 36(1–3), 9–22 (2005)
Bramley, R., Trengove, S.: Precision agriculture in Australia: present status and recent developments. Engenharia AgrÃcola 33, 575–588 (2013)
Burrell, J., Brooke, T., Beckwith, R.: Vineyard computing: sensor networks in agricultural production. IEEE Pervasive Comput. 3(1), 38–45 (2004)
IBM: Analytics in agriculture: Driving efficiencies and insight to create “smarter agribusiness”, March 2013. http://public.dhe.ibm.com/common/ssi/ecm/en/gbw03201usen/GBW03201USEN.PDF
Jayaraman, P., Perera, C., Georgakopoulos, D., Zaslavsky, A.: Efficient opportunistic sensing using mobile collaborative platform mosden. In: 2013 9th International Conference Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), pp. 77–86, Oct 2013
Jayaraman, P.P., Zaslavsky, A., Delsing, J.: Sensor data collection using heterogeneous mobile devices. In: IEEE International Conference on Pervasive Services, pp. 161–164, July 2007
Le-Phuoc, D., Quoc, H.N.M., Parreira, J.X., Hauswirth, M.: The linked sensor middleware-connecting the real world and the semantic web. In: Proceedings of the Semantic Web Challenge (2011)
Sherchan, W., Jayaraman, P., Krishnaswamy, S., Zaslavsky, A., Loke, S., Sinha, A.: Using on-the-move mining for mobile crowdsensing. In: 2012 IEEE 13th International Conference on Mobile Data Management (MDM), pp. 115–124 (2012)
W3C Semantic Sensor Network Incubator Group: Semantic sensor network ontology (2005)
Wark, T., Corke, P., Sikka, P., Klingbeil, L., Ying, G., Crossman, C., Valencia, P., Swain, D., Bishop-Hurley, G.: Transforming agriculture through pervasive wireless sensor networks. IEEE Pervasive Comput. 6(2), 50–57 (2007)
Zaslavsky, A., Jayaraman, P.P., Krishnaswamy, S.: Sharelikescrowd: mobile analytics for participatory sensing and crowd-sourcing applications. In: 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), vol. 0, pp. 128–135 (2013)
Acknowledgement
Part of this work has been carried out in the scope of the ICT OpenIoT Project which is co-funded by the European Commission under seventh framework program, contract number FP7-ICT-2011-7-287305-OpenIoT. The authors acknowledge help and support from CSIRO Sensors and Sensor Networks Transformational Capability Platform (SSN TCP).
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Jayaraman, P.P., Palmer, D., Zaslavsky, A., Salehi, A., Georgakopoulos, D. (2015). Addressing Information Processing Needs of Digital Agriculture with OpenIoT Platform. In: Podnar Žarko, I., Pripužić, K., Serrano, M. (eds) Interoperability and Open-Source Solutions for the Internet of Things. Lecture Notes in Computer Science(), vol 9001. Springer, Cham. https://doi.org/10.1007/978-3-319-16546-2_11
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DOI: https://doi.org/10.1007/978-3-319-16546-2_11
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