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

  • N. Skou-Nielsen (a1), A. Villa-Henriksen (a1), O. Green (a1) and G. T. C. Edwards (a1)


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.


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Asmussen, S and Glynn, PW 2007. Variance-Reduction Methods. Stratification. In B Rozovskii and G Grimmett (Eds.), Stochastic Simulation Algorithms and Analysis (pp. 150155). Springer, USA.
Bechar, A and Vigneault, C 2016. Agricultural robots for field operations: Concepts and components. Biosystems Engineering 149, 94111.
Bochtis, DD and Sørensen, CG 2009. The vehicle routing problem in field logistics part I. Biosystems Engineering 104 (4), 447457.
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, 149157.
EU Regulations 809, E. C. 2014. COMMISSION IMPLEMENTING REGULATION (EU) No 809/2014. Official Journal of the European Union L 227 (809), 85.
Gonzalez, XP, Alvarez, CJ and Crecente, R 2004. Evaluation of land distributions with joint regard to plot size and shape. Agricultural Systems 82 (1), 3143.
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), 1835.
NaturErhvervstyrelsen (2016). Marker og Markblokke. Ministeriet for Fødevarer, Landbrug og Fiskeri. (Retrieved 1st September 2016).
Oksanen, T 2013. Shape-describing indices for agricultural field plots and their relationship to operational efficiency. Computers and Electronics in Agriculture 98, 252259.
Rosin, PL 2003. Measuring Shape: Ellipticity, Rectangularity, and Triangularity. Machine Vision and Applications 14, 172184.
Tilman, D, Cassman, KG, Matson, PA, Naylor, R and Polasky, S 2002. Agricultural sustainability and intensive production practices. Nature 418 (6898), 671677.
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, 217226.



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