TY - GEN
T1 - An ICT Platform Design for Traceability and Big Data Analytics of Sugarcane Harvesting Operation
AU - Setiawan, Ageng
AU - Wahyuddin, S.
AU - Rijanto, Estiko
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Production of sugarcane needs to be increased to respond to the continuously growing demand. In addition to solving the basic problems in sugarcane production such as seeding, planting, care, fertilizing, and harvesting, innovation in information and communication technology (ICT) needs to be carried out to realize a farm management information system (FMIS). This paper proposes a design of ICT platform for sugarcane harvesting operations to support operations and decisions by the management. The platform is composed of four layers i.e. source collection, big data, operation management & knowledge model, and presentation. It is designed based on the sugarcane farm operated in Sumatera, Indonesia. Some key variables regarding the operation are recorded and saved in a database. Production report and Big Data Analytics are carried out to improve the sugarcane harvesting operation. Examples of the big data logger view and the FMIS daily operation report view are presented. Further in-depth research on several aspects is necessary including the robustness of telecommunication, the security of data communication, climate effect on the hardware implementation, authorization, integration, and performance measurement.
AB - Production of sugarcane needs to be increased to respond to the continuously growing demand. In addition to solving the basic problems in sugarcane production such as seeding, planting, care, fertilizing, and harvesting, innovation in information and communication technology (ICT) needs to be carried out to realize a farm management information system (FMIS). This paper proposes a design of ICT platform for sugarcane harvesting operations to support operations and decisions by the management. The platform is composed of four layers i.e. source collection, big data, operation management & knowledge model, and presentation. It is designed based on the sugarcane farm operated in Sumatera, Indonesia. Some key variables regarding the operation are recorded and saved in a database. Production report and Big Data Analytics are carried out to improve the sugarcane harvesting operation. Examples of the big data logger view and the FMIS daily operation report view are presented. Further in-depth research on several aspects is necessary including the robustness of telecommunication, the security of data communication, climate effect on the hardware implementation, authorization, integration, and performance measurement.
KW - Big Data
KW - Big Data Analytics
KW - Harvesting operation
KW - ICT platform
KW - Traceability
KW - sugarcane
UR - http://www.scopus.com/inward/record.url?scp=85078830330&partnerID=8YFLogxK
U2 - 10.1109/IC3INA48034.2019.8949594
DO - 10.1109/IC3INA48034.2019.8949594
M3 - Conference contribution
AN - SCOPUS:85078830330
T3 - 2019 International Conference on Computer, Control, Informatics and its Applications: Emerging Trends in Big Data and Artificial Intelligence, IC3INA 2019
SP - 181
EP - 186
BT - 2019 International Conference on Computer, Control, Informatics and its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2019
Y2 - 23 October 2019 through 24 October 2019
ER -
