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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Agricultural Load Cycles: Tractor Mission Profiles From Recorded Gnss and Can Bus Data

Authors: Götz, Korbinian;

Agricultural Load Cycles: Tractor Mission Profiles From Recorded Gnss and Can Bus Data

Abstract

Agriculture is one of the main sources of greenhouse gas emissions, with agricultural machinery playing an important role through the combustion of fossil fuels. On the other hand, many farmers invest in their own renewable energy generation. To leverage the renewable produced energy and cut emissions, a promising solution is the electrification of tractors. With the advent of tractor electrification, the necessity to define the requirements of an electrified tractor emerges. In contrast to automotive and truck engineering, where the usage patterns are narrow, and testing is standardized through load cycles as the WLTP and VECTO LongHaul, the agricultural application of tractors includes a wide variability of operating conditions. Since there are no standardized, publicly available agricultural load cycles, we offer data on the load and usage of tractors in real field operation, which is suitable as input for developing electrified tractors. Hence, we equipped, during a one-year period, five tractors (77 – 240 kW) on a Farm in the South of Germany with high-resolution GNSS loggers and collected the CAN bus data from the J1939 engine bus and the ISOBUS. The data collected is enriched with information about the tractor models and attachments used. A total of 1245 hours of operation data has been recorded and constitutes one of the most comprehensive open datasets to date for high-resolution data of agricultural tractors. This dataset provides engine and load parameters, auxiliary power supply, and GNSS information for multiple different agricultural fields. Its applications include simulation of electrification for agricultural tractors, load cycle construction, modeling of farming processes, the analysis of agricultural production indicators or path planning for autonomy.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average