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Automating the process of importing data into an FMIS using information from tractor’s CAN-Bus communication

Published online by Cambridge University Press:  01 June 2017

D. S. Paraforos ,
V. Vassiliadis ,
D. Kortenbruck ,
K. Stamkopoulos ,
V. Ziogas ,
A. A. Sapounas  and
H. W. Griepentrog
D. S. Paraforos*
Affiliation:
University of Hohenheim, Institute of Agricultural Engineering, Process Engineering in Plant Production (440d), Garbenstr. 9, 70599, Stuttgart, Germany
V. Vassiliadis
Affiliation:
Agrostis Agricultural Information Systems, Α. Tritsi 21, Pylaia, 57001, Thessaloniki, Greece
D. Kortenbruck
Affiliation:
University of Hohenheim, Institute of Agricultural Engineering, Process Engineering in Plant Production (440d), Garbenstr. 9, 70599, Stuttgart, Germany
K. Stamkopoulos
Affiliation:
Agrostis Agricultural Information Systems, Α. Tritsi 21, Pylaia, 57001, Thessaloniki, Greece
V. Ziogas
Affiliation:
Agrostis Agricultural Information Systems, Α. Tritsi 21, Pylaia, 57001, Thessaloniki, Greece
A. A. Sapounas
Affiliation:
Agrostis Agricultural Information Systems, Α. Tritsi 21, Pylaia, 57001, Thessaloniki, Greece
H. W. Griepentrog
Affiliation:
University of Hohenheim, Institute of Agricultural Engineering, Process Engineering in Plant Production (440d), Garbenstr. 9, 70599, Stuttgart, Germany
*
†E-mail: [email protected]
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Abstract

This paper is focusing on how to eliminate the required time for importing all the necessary data into a farm management information system (FMIS). This process was automated by using ISO 11783 and SAE J1939 communication information from the tractor’s CAN-Bus. Using a data logger and a machine to machine (M2M) gateway inside the tractor’s cabin, CAN-Bus data were recorded and transmitted to the cloud-based server of the FMIS. There, a script was responsible for parsing and aggregating the raw machine data into specific agricultural tasks and then importing them into the FMIS. The operator could choose the type of the performed task by a number of switches connected with the digital inputs of the data logger.

Keywords

Future internet, CAN-BusSAE J1939M2M communicationcloud-based computing
Type
Information and Decision Support Systems
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 650 - 655
Copyright
© The Animal Consortium 2017 

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