Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data

Andreas Heiß, Dimitrios S. Paraforos and Hans W. Griepentrog
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Andreas Heiß: University of Hohenheim, Institute of Agricultural Engineering, Technology in Crop Production, Garbenstr. 9, 70599 Stuttgart, Germany
Dimitrios S. Paraforos: University of Hohenheim, Institute of Agricultural Engineering, Technology in Crop Production, Garbenstr. 9, 70599 Stuttgart, Germany
Hans W. Griepentrog: University of Hohenheim, Institute of Agricultural Engineering, Technology in Crop Production, Garbenstr. 9, 70599 Stuttgart, Germany

Agriculture, 2019, vol. 9, issue 2, 1-17

Abstract: Easily available and detailed area-related information is very valuable for the optimization of crop production processes in terms of, e.g., documentation and invoicing or detection of inefficiencies. The present study dealt with the development of algorithms to gain sophisticated information about different area-related parameters in a preferably automated way. Rear hitch position and wheel-based machine speed were recorded from ISO 11783 communication data during plowing with a mounted reversible moldboard plow. The data were georeferenced using the position information from a low-cost differential global navigation satellite system (D-GNSS) receiver. After the exclusion of non-work sequences from continuous data logs, single cultivated tracks were reconstructed, which represented as a whole the cultivated area of a field. Based on that, the boundary of the field and the included area were automatically detected with a slight overestimation of 1.4%. Different field parts were distinguished and single overlaps between the cultivated tracks were detected, which allowed a distinct assessment of the lateral and headland overlapping (2.05% and 3.96%, respectively). Incomplete information about the work state of the implement was identified as the main challenge to get precise results. With a few adaptions, the used methodology could be transferred to a wide range of mounted implements.

Keywords: Data-driven agriculture; ISOBUS; Rear hitch position; Wheel-based machine speed (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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