Development of a Cloud-Based Precision Agricultural Management System 


Vol. 47,  No. 11, pp. 1974-1982, Nov.  2022
10.7840/kics.2022.47.11.1974


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  Abstract

Precision agriculture is an agriculture that collects and manages growth data and environmental data of crops or livestock, and creates an optimal growth environment based on it, and refers to agriculture with a concept similar to smart farms. The purpose of this paper is to combine the cloud-based precision agricultural management system with a farm's smart farm using public data from the Rural Development Administration's item management manual to enable systematic operation. Farm as a service (FaaS) technology development is necessary for farm cloud services. Based on the analysis or collection results of crop growth, disease prediction, and abnormal operation of IoT equipment from the smart bed system, producer services such as disease management, growth management, and resource management are provided based on the cloud. Through the development of a cloud-based precision agricultural management system, it ultimately resolves information and system imbalances by resolving price barriers, secures an eco-friendly precision agricultural foundation through intelligent drainage management, and lays the foundation for expanding profit models such as cloud-based shared services.

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[IEEE Style]

K. Yang and M. Lee, "Development of a Cloud-Based Precision Agricultural Management System," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 11, pp. 1974-1982, 2022. DOI: 10.7840/kics.2022.47.11.1974.

[ACM Style]

Kwang-Ho Yang and Meong-Hun Lee. 2022. Development of a Cloud-Based Precision Agricultural Management System. The Journal of Korean Institute of Communications and Information Sciences, 47, 11, (2022), 1974-1982. DOI: 10.7840/kics.2022.47.11.1974.

[KICS Style]

Kwang-Ho Yang and Meong-Hun Lee, "Development of a Cloud-Based Precision Agricultural Management System," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 11, pp. 1974-1982, 11. 2022. (https://doi.org/10.7840/kics.2022.47.11.1974)