TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM

Investor logo

Warning

This publication doesn't include Faculty of Education. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

ŘEZNÍK Tomáš KLOCOVÁ Martina LEITNER Filip PAVELKA Tomáš HERMAN Lukáš HRÁDEK Jakub LEITGEB Šimon TROJANOVÁ Kateřina KONEČNÝ Milan

Year of publication 2021
Type Article in Proceedings
Conference GIS Ostrava 2021 – Advances in Localization and Navigation
MU Faculty or unit

Faculty of Science

Citation
Web online verze příspěvku
Doi http://dx.doi.org/10.31490/9788024845050-13
Keywords Controlled Traffic Farming; semi-autonomous driving; navigation
Description Efforts related to minimising the environmental burden caused by agricultural activities are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using on-line optimization of route planning for soil-sensitive field operations. The research presented in this paper aims at optimizing farm machinery routes to minimize the environmental burden. As such, it further advances existing CTF solutions by its complexity including (1) efficient field divisions, (2) U-turns in headlands, (3) obstacles in a farm machinery route and (4) terrain specifics. The developed algorithm is expressed as UML activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rostěnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories. The developed algorithm addresses two main viewpoints: economic (saved route, fuel and time) and environmental (among other, reductions of soil compactness and erosion, an increase of soil infiltration rate).
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.