Next Article in Journal
Is Automobile Dependence in Emerging Cities an Irresistible Force? Perspectives from São Paulo, Taipei, Prague, Mumbai, Shanghai, Beijing, and Guangzhou
Next Article in Special Issue
Reference Evapotranspiration Retrievals from a Mesoscale Model Based Weather Variables for Soil Moisture Deficit Estimation
Previous Article in Journal
Analyzing the Effect of Corporate Environmental Performance on Corporate Financial Performance in Developed and Developing Countries
Previous Article in Special Issue
Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?

Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery

Department of Agriculture, Forestry and Food Science (DISAFA), Faculty of Agriculture, University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy
Institute for Bio-economy and Agri-Technology (IBO), Centre for Research & Technology—Hellas (CERTH), 57001 Thessaloniki, Greece
Department of Engineering, Faculty Science and Technology, Aarhus University, 8000 Aarhus, Denmark
Author to whom correspondence should be addressed.
Sustainability 2017, 9(11), 1956;
Received: 31 July 2017 / Revised: 12 October 2017 / Accepted: 22 October 2017 / Published: 27 October 2017
Various types of sensors technologies, such as machine vision and global positioning system (GPS) have been implemented in navigation of agricultural vehicles. Automated navigation systems have proved the potential for the execution of optimised route plans for field area coverage. This paper presents an assessment of the reduction of the energy requirements derived from the implementation of optimised field area coverage planning. The assessment regards the analysis of the energy requirements and the comparison between the non-optimised and optimised plans for field area coverage in the whole sequence of operations required in two different cropping systems: Miscanthus and Switchgrass production. An algorithmic approach for the simulation of the executed field operations by following both non-optimised and optimised field-work patterns was developed. As a result, the corresponding time requirements were estimated as the basis of the subsequent energy cost analysis. Based on the results, the optimised routes reduce the fuel energy consumption up to 8%, the embodied energy consumption up to 7%, and the total energy consumption from 3% up to 8%. View Full-Text
Keywords: auto-steering systems; area coverage; operations planning auto-steering systems; area coverage; operations planning
Show Figures

Figure 1

MDPI and ACS Style

Rodias, E.; Berruto, R.; Busato, P.; Bochtis, D.; Sørensen, C.G.; Zhou, K. Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery. Sustainability 2017, 9, 1956.

AMA Style

Rodias E, Berruto R, Busato P, Bochtis D, Sørensen CG, Zhou K. Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery. Sustainability. 2017; 9(11):1956.

Chicago/Turabian Style

Rodias, Efthymios, Remigio Berruto, Patrizia Busato, Dionysis Bochtis, Claus G. Sørensen, and Kun Zhou. 2017. "Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery" Sustainability 9, no. 11: 1956.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop