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The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review

Author(s): Aditya Eka Mulyono , Priska Apnitami , Insani Sekar Wangi , Khalfan Nadhief Prayoga Wicaksono , Catur Apriono
Author(s) information:
Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat, 16424, Indonesia

Corresponding author

As one of Indonesia’s main export agricultural commodities, coffee farming faces many obstacles, ranging from plant pest organisms to climate and environmental problems. These problems can be solved using smart farming technology. However, smart farming technology has not been applied intensively in Indonesia. This paper aims to analyze the potential for implementing smart farming for coffee in Indonesia. This article presents a systematic review of the information about the potential application of IoT smart farming for coffee farming in Indonesia by applying the PSALSAR (Protocol, Search, Appraisal, Synthesis, Analysis, Report) review method. This study concludes the list of smart farming technologies for coffee that have the potential to be applied in Indonesia. Those technologies are classified based on their application scope: quality control (including subtopics like coffee quality control), climate monitoring, the anticipation of pest organisms, and coffee processing), coffee production planning, and coffee waste utilization. Regarding infrastructure readiness and the need for smart farming technology for coffee, the island of Java has the most potential for implementing smart farming for coffee as soon as possible. The high potential for application in Java is because the telecommunications technology infrastructure is ready, and the land area and coffee production are large.

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About this article

SUBMITTED: 24 May 2022
ACCEPTED: 06 July 2022
PUBLISHED: 16 August 2022
SUBMITTED to ACCEPTED: 43 days
DOI: https://doi.org/10.53623/gisa.v2i2.95

Cite this article
Mulyono, A. E., Apnitami, P., Wangi, I. S., Wicaksono, K., & Apriono, C. (2022). The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review. Green Intelligent Systems and Applications, 2(2), 53–70. https://doi.org/10.53623/gisa.v2i2.95
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