TY - GEN
T1 - Estimating operational efficiency of field work based on field shape
AU - Oksanen, Timo
PY - 2013
Y1 - 2013
N2 - In this paper, operational efficiency is defined in terms of how time efficient one field plot is to drive with agricultural machinery, as all turnings at headlands and other non-operational driving are considered to decrease the operational efficiency. The objective of this paper is to study the relationship between operational efficiency and field shapes. The objective is to find a computationally fast method in order to estimate or approximate operational efficiency; fast compared with the complex coverage path planning algorithms. The methodology is divided in to three phases: in the first phase, several shape describing indices are defined for a field plot, and the indices are calculated for a set of real field plots; in the second phase, a complex coverage path planning algorithm (split and merge) is used to calculate accurate solutions for the same set of fields. In the third phase, the correlation between indices and overhead obtained in the second phase is studied and the objective is to develop a model from the index space to the overhead space. Multivariate regression analysis shows correlation between field plot shape indices and operational efficiency, studied with real field plot shapes in southern Finland.
AB - In this paper, operational efficiency is defined in terms of how time efficient one field plot is to drive with agricultural machinery, as all turnings at headlands and other non-operational driving are considered to decrease the operational efficiency. The objective of this paper is to study the relationship between operational efficiency and field shapes. The objective is to find a computationally fast method in order to estimate or approximate operational efficiency; fast compared with the complex coverage path planning algorithms. The methodology is divided in to three phases: in the first phase, several shape describing indices are defined for a field plot, and the indices are calculated for a set of real field plots; in the second phase, a complex coverage path planning algorithm (split and merge) is used to calculate accurate solutions for the same set of fields. In the third phase, the correlation between indices and overhead obtained in the second phase is studied and the objective is to develop a model from the index space to the overhead space. Multivariate regression analysis shows correlation between field plot shape indices and operational efficiency, studied with real field plot shapes in southern Finland.
KW - Agricultural machines
KW - Coverage path planning
KW - Multivariate analysis
UR - https://www.scopus.com/pages/publications/84885648773
U2 - 10.3182/20130828-2-SF-3019.00065
DO - 10.3182/20130828-2-SF-3019.00065
M3 - Conference contribution
AN - SCOPUS:84885648773
SN - 9783902823441
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 202
EP - 206
BT - 4th IFAC Conference on Modelling and Control in Agriculture, Horticulture and Post Harvest Industry, AGRICONTROL 2013 - Proceedings
PB - IFAC Secretariat
T2 - 4th IFAC Conference on Modelling and Control in Agriculture, Horticulture and Post Harvest Industry, AGRICONTROL 2013
Y2 - 28 August 2013 through 30 August 2013
ER -