Digital Twin Platform Architecture Design to Support Smart Aeroponic Potato Cultivation in Indonesia
Auzi Asfarian () and
Wulandari Wulandari
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Auzi Asfarian: IPB University, Department of Computer Science, Faculty of Mathematics and Natural Science
Wulandari Wulandari: IPB University, Department of Computer Science, Faculty of Mathematics and Natural Science
A chapter in Proceedings of the Business Innovation and Engineering Conference (BIEC 2022), 2023, pp 92-99 from Springer
Abstract:
Abstract Potato (Solanum tuberosum L.) is one of the essential crops consumed in Indonesia. Currently, smart aeroponic potato cultivation practices in a greenhouse environment provide precision treatment to the crops, including watering and fertilizer, for more efficient cultivation and better yield and potato grade. The next step of the digital innovation for potato cultivation is to provide a smart monitoring system usable by farmers to get an accurate representation of the crop condition based on various sensors available in the greenhouse. In this research, we provide an architecture design for a digital twin platform for potato cultivation to support smart aeroponic potato cultivation in Indonesia. The architecture design consists of the in-farm sensor networks (smart farm), a back-end database system in the cloud, and a front-end module to monitor and visualize the cultivated potato’s actual condition based on sensor data. We also provided a strategy to implement the proposed design based on the hierarchy, integration, and maturity levels of the digital twin platform. We hope the proposed architecture can be integrated into the current smart aeroponic potato cultivation, and encourage further adoption of a digital twin for crop monitoring in other products, most prominently the high-value product, to increase the value of Indonesia’s agriculture productions.
Keywords: digital twin; smart aeroponic; potato; crops monitoring; smart farming; system architecture (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-144-9_9
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DOI: 10.2991/978-94-6463-144-9_9
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