Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-28T01:46:06.877Z Has data issue: false hasContentIssue false
  • English
  • Français

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: [email protected]
Get access

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Asmussen, S and Glynn, PW 2007. Variance-Reduction Methods. Stratification. In B Rozovskii and G Grimmett (Eds.), Stochastic Simulation Algorithms and Analysis (pp. 150–155). Springer, USA.CrossRefGoogle Scholar
Bechar, A and Vigneault, C 2016. Agricultural robots for field operations: Concepts and components. Biosystems Engineering 149, 94–111.Google Scholar
Bochtis, DD and Sørensen, CG 2009. The vehicle routing problem in field logistics part I. Biosystems Engineering 104 (4), 447–457.CrossRefGoogle Scholar
Edwards, GTC, Hinge, J, Skou-Nielsen, N, Villa-Henriksen, A, Sørensen, CAG and Green, O 2017. Route Planning Evaluation of a Prototype Optimised Infield Route Planner for Neutral Material Flow Agricultural Operations. Biosystems Engineering 153, 149–157.Google Scholar
EU Regulations 809, E. C. 2014. COMMISSION IMPLEMENTING REGULATION (EU) No 809/2014. Official Journal of the European Union L 227 (809), 85.Google Scholar
Gonzalez, XP, Alvarez, CJ and Crecente, R 2004. Evaluation of land distributions with joint regard to plot size and shape. Agricultural Systems 82 (1), 31–43.Google Scholar
Larson, JA, Velandia, MM, Buschermohle, MJ and Westlund, SM 2016. Effect of field geometry on profitability of automatic section control for chemical application equipment. Precision Agriculture 17 (1), 18–35.Google Scholar
NaturErhvervstyrelsen (2016). Marker og Markblokke. Ministeriet for Fødevarer, Landbrug og Fiskeri. https://kortdata.fvm.dk/download/Index?page=Markblokke_Marker (Retrieved 1st September 2016).Google Scholar
Oksanen, T 2013. Shape-describing indices for agricultural field plots and their relationship to operational efficiency. Computers and Electronics in Agriculture 98, 252–259.Google Scholar
Rosin, PL 2003. Measuring Shape: Ellipticity, Rectangularity, and Triangularity. Machine Vision and Applications 14, 172–184.Google Scholar
Tilman, D, Cassman, KG, Matson, PA, Naylor, R and Polasky, S 2002. Agricultural sustainability and intensive production practices. Nature 418 (6898), 671–677.Google Scholar
Zandonadi, RS, Luck, JD, Stombaugh, TS and Shearer, SA 2013. Evaluating field shape descriptors for estimating off-target application area in agricultural fields. Computers and Electronics in Agriculture 96, 217–226.Google Scholar