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Managing soil compaction - a choice of low-mass autonomous vehicles or controlled traffic?


McPhee, JE and Antille, DL and Tullberg, JN and Doyle, RB and Boersma, M, Managing soil compaction - a choice of low-mass autonomous vehicles or controlled traffic?, Biosystems Engineering, 195 pp. 227-241. ISSN 1537-5110 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 IAgrE. Published by Elsevier Ltd.

DOI: doi:10.1016/j.biosystemseng.2020.05.006


Compaction-induced soil degradation is of growing importance as field machinery continues to increase in power and mass. Approaches to managing the impacts of soil compaction include minimisation (reduce load), remediation (tillage) and confinement (control traffic). Integrated ‘swarms’ of low-mass autonomous machinery have recently been suggested as a means of reducing compaction and an alternative to controlled traffic. In this study, combine and potato harvester machinery relationships were used to predict the specifications of potential low-mass harvesters for use in soil compaction modelling. Results suggested that combine harvester gross vehicle mass (GVM) must be less than 6 Mg to keep the modelled soil bulk density below 1.4 Mg m-3. With this constraint, 6-9 small harvesters (~50 kW) would be required to replace one Class 9 (>300 kW) harvester. A fleet of this size would require access to unloading facilities every 2.5-3 min for the modelled yield conditions. For root and tuber harvesting, which results in a high degree of soil disturbance, no low-mass harvester option was found that would avoid compacting the soil to unacceptable limits. Avoiding soil compaction while maintaining acceptable productivity will pose considerable design and logistics challenges for low-mass grain, root and tuber vegetable harvest machinery. The integration of controlled traffic farming (CTF) and medium-capacity autonomous machines (~10-20 Mg GVM for combine harvesters) may be a better solution for both soil compaction and operational logistics than low-mass swarm technology.

Item Details

Item Type:Refereed Article
Keywords:autonomous machinery, controlled traffic, harvest, modelling, soil compaction, autonomous vehicles
Research Division:Engineering
Research Group:Other engineering
Research Field:Agricultural engineering
Objective Division:Plant Production and Plant Primary Products
Objective Group:Horticultural crops
Objective Field:Field grown vegetable crops
UTAS Author:McPhee, JE (Mr John McPhee)
UTAS Author:Doyle, RB (Associate Professor Richard Doyle)
UTAS Author:Boersma, M (Dr Mark Boersma)
ID Code:139270
Year Published:2020
Web of Science® Times Cited:16
Deposited By:TIA - Research Institute
Deposited On:2020-06-04
Last Modified:2020-07-20

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