activity
20212026
collaborators

5 papers

cs.CL2026

Machine-Readable Operator Manuals over the ISO 11783 Network for Offline, Multilingual LLM Assistance

Timo Oksanen, Julius Gun

If agricultural machinery is to support intelligent, offline assistance, then the system must access technical documentation dynamically. In this paper, the Semantic Synchronizatio…

cs.NI2026

ISO FastLane: Faster ISO 11783 with Dual Stack Approach as a Short Term Solution

Timo Oksanen

The agricultural industry has been searching for a high-speed successor to the 250~kbit/s CAN bus backbone of ISO~11783 (ISOBUS) for over a decade, yet no protocol-level solution h…

cs.CL2025

Agri-Query: A Case Study on RAG vs. Long-Context LLMs for Cross-Lingual Technical Question Answering

Julius Gun, Timo Oksanen

We present a case study evaluating large language models (LLMs) with 128K-token context windows on a technical question answering (QA) task. Our benchmark is built on a user manual…

cs.CV2023

RB-Dust -- A Reference-based Dataset for Vision-based Dust Removal

Peter Buckel, Timo Oksanen, Thomas Dietmueller

Dust in the agricultural landscape is a significant challenge and influences, for example, the environmental perception of autonomous agricultural machines. Image enhancement algor…

cs.CV2021

Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera

Erkin Türköz, Ertug Olcay, Timo Oksanen

This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in lon…