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Creating a statistically representative set of Danish agricultural field shapes to robustly test route planning algorithms

Published online by Cambridge University Press:  01 June 2017

N. Skou-Nielsen ,
A. Villa-Henriksen ,
O. Green  and
G. T. C. Edwards
N. Skou-Nielsen*
Affiliation:
Agro Intelligence ApS, Agro Food Park 13, 8200 Aarhus N, Denmark
A. Villa-Henriksen
Affiliation:
Agro Intelligence ApS, Agro Food Park 13, 8200 Aarhus N, Denmark
O. Green
Affiliation:
Agro Intelligence ApS, Agro Food Park 13, 8200 Aarhus N, Denmark
G. T. C. Edwards
Affiliation:
Agro Intelligence ApS, Agro Food Park 13, 8200 Aarhus N, Denmark
*
† E-mail: nsn@agrointelli.com
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Abstract

Infield route planning is used to optimise field operations in order to decrease operational costs and environmental impacts. Route planners must be able to plan operations within real fields and account for real situations such as irregular shapes and obstacles. Therefore, a representative set of fields is required to robustly test the route planner. Instead of choosing randomly, which may result in a non-representative sample of the diversity of fields; a stratification strategy was used to separate the field dataset into strata. Proportional sampling from each stratum provided a representative sample of 217 fields, out of the original set of 603,218 from the Danish field database.

Keywords

field diversity representationdataset creationstratification strategygeometric featuresroute planning
Type
Data analysis and Geostatistics
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 615 - 619
Copyright
© The Animal Consortium 2017 

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