TY - JOUR
T1 - The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review
AU - Mulyono, Aditya eka
AU - Apnitami, Priska
AU - Wangi, Insani sekar
AU - Wicaksono, Khalfan nadhief prayoga
AU - Apriono, Catur
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - systematic review
KW - coffee agriculture
KW - smart farming
KW - iot
KW - internet of things
KW - PSALSAR
UR - https://tecnoscientifica.com/journal/gisa/article/view/95
U2 - 10.53623/gisa.v2i2.95
DO - 10.53623/gisa.v2i2.95
M3 - Literature review
SN - 2809-1116
VL - 2
SP - 53
EP - 70
JO - Green Intelligent Systems and Applications
JF - Green Intelligent Systems and Applications
IS - 2
ER -