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A Software Model for Precision Agriculture Framework Based on Smart Farming System and Application of IoT Gateway

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 787))

Abstract

Contemporary society is seriously threatened with food as part of the world due to the continuous increase in world population, the degradation and decline of agricultural lands due to high industrialization, climate change and the aging of the population. Therefore, modern society is studying different solutions to solve human food. In this paper, a framework for precision agriculture using IoT Gateway is proposed for solving human food, and the productivity of crops must be increased first. IoT solution through architecture, platforms and IoT standards, or the use of interoperable IoT technologies beyond the adopters in particular, simplifying existing proposals. Connecting different sensors, connected devices, developing intelligent breeding systems as much as possible. One of our aims is to manage and challenges. We provide a techniques and technologies applications during our work. The result shows that the advantages of various types of sensors for agriculture services in their decision making. And a proposed architecture for Agriculture Mobile services based on Sensor Cloud substructure that helps farms and IoT applications are effective in intelligent farming system.

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Acknowledgements

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-2013-1-00877) supervised by the IITP (Institute for Information & communications Technology Promotion).

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Correspondence to Haeng-Kon Kim .

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Donzia, S.K.Y., Kim, HK., Hwang, H.J. (2019). A Software Model for Precision Agriculture Framework Based on Smart Farming System and Application of IoT Gateway. In: Lee, R. (eds) Computational Science/Intelligence & Applied Informatics. CSII 2018. Studies in Computational Intelligence, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-96806-3_4

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