Decision making based on IoT data collection for precision agriculture

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Abstract

Internet of Things (IoT) is a shared network of things which can associate with each other through the internet connection. IoT plays a vital role in the agriculture industry which can feed 9.0 billion people by 2050. Precision Agriculture provides a novel solution using a systems approach for today’s agricultural issues such as the need to balance productivity with environmental concerns. This paper proposes IoT for local information data collection on Precision Agriculture and uses some case study for examples. In this paper, we aim that the internet of things can be used to collect local information data on precision agriculture. The farmer could get the real time data for monitoring his field. Moreover, by using this technology, farmers can effectively use the information to achieve higher yields and therefore earn higher profits.

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Dewi, C., & Chen, R. C. (2020). Decision making based on IoT data collection for precision agriculture. In Studies in Computational Intelligence (Vol. 830, pp. 31–42). Springer Verlag. https://doi.org/10.1007/978-3-030-14132-5_3

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