Assessing the actions of the farm managers to execute field operations at opportune times

Edwards, Gareth; Dybro, Niels; Munkholm, Lars J.; Sørensen, Claus G.

doi:10.1016/j.biosystemseng.2016.01.011

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…However, as it affected all cases equally, it still shows the dynamics of the concept. In addition, other climates and sites often have a wider window of suitable conditions, for example the UK , USA (ASAE, 2000;Edwards et al, 2016) and southern Europe (Savin et al, 2014). Since timeliness was not found to be an insurmountable part of the cost in the northern European climate in Sweden, it follows that this type of autonomous BED system would have a lower timeliness cost in those other regions, provided that the other parameters are similar.…”

Section: Timelinessmentioning

confidence: 99%

“…Untimely or non-optimal operations can lead to indirect costs, due to yield losses or a decrease in crop quality. Prediction of optimal work time and the negative effects of nonoptimal work time have been well studied (ASAE, 2000;Edwards, Dybro, Munkholm, & S€ orensen, 2016;Gunnarsson, Sp€ orndly, Rosenqvist, De Toro, & Hansson, 2009;Rotz & Harrigan, 2005;Savin, Matic-Kekic, Dedovic, Simikic, & Tomic, 2014;. identified untimely establishment, spraying and harvesting as the most important operations and concluded that adequate machine capacity is vital, but it is difficult to assess, partly due to the unique nature of each site and the erratic behaviour of the weather.…”

Section: Introductionmentioning

confidence: 99%

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Electric autonomous tractors in Swedish agriculture : A systems analysis of economic, environmental and performance effects

Lagnelöv¹

2023

Acta Universitatis Agriculturae Sueciae

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Use of battery-electric vehicles has become common in different sectors, as a measure to reduce greenhouse gas emissions. Driveline electrification in agricultural machinery could reduce emissions and increase driveline efficiency, but implementation has been hindered by the low energy-carrying capacity of batteries compared with conventional fuels. Combining battery-electric drivelines and autonomous operation would provide important synergies by mitigating or eliminating many of negative aspects of electrification, while retaining the benefits from both systems. This thesis evaluated the potential and analysed the intricate workings of a battery-based autonomous electric vehicle system by applying systems analysis, economic analysis and life cycle assessment, through simulations and modelling. The vehicle system was evaluated on a theoretical Swedish grain farm of 200 ha using a conventional cropping system. Soil compaction, battery ageing, queueing dynamics, field trafficability, energy storage and weather effects were all included in simulations. This allowed comparison of performance, cost and environmental impacts for a conventional fieldwork tractor and a system with several smaller autonomous battery-electric tractors. The evaluation showed that the autonomous electric tractors were able to match or exceed the daily work rate of the conventional tractor, while reducing energy use (by 47-75%), lowering annual costs (by 32-37%) and reducing soil compaction. The environmental impact was generally also lower, with up to a 74% reduction in greenhouse gas emissions over the system’s life cycle. These results indicate great potential for autonomous electric tractors in future agricultural fieldwork, as combining the electric driveline and autonomous technologies allowed the benefits from both to be used to greater effect than either by itself.

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Section: Timelinessmentioning

confidence: 99%