Using stochastic dynamic programming to support weed management decisions over a rotation

A - Papers appearing in refereed journals

Benjamin, L. R., Milne, A. E., Parsons, D. J., Cussans, J. and Lutman, P. J. W. 2009. Using stochastic dynamic programming to support weed management decisions over a rotation. Weed Research. 49 (2), pp. 207-216.

AuthorsBenjamin, L. R., Milne, A. E., Parsons, D. J., Cussans, J. and Lutman, P. J. W.
Abstract

This study describes a model that predicts the impact of weed management on the population dynamics of arable weeds over a rotation and presents the economic consequences. A stochastic dynamic programming optimisation is applied to the model to identify the management strategy that maximises gross margin over the rotation. The model and dynamic programme were developed for the weed management decision support system -'Weed Manager'. Users can investigate the effect of management practices (crop, sowing time, weed control and cultivation practices) on their most important weeds over the rotation or use the dynamic programme to evaluate the best theoretical weed management strategy. Examples of the output are given in this paper, along with discussion on their validation. Through this study, we demonstrate how biological models can (i) be integrated into a decision framework and (ii) deliver valuable weed management guidance to users.

KeywordsAgronomy; Plant Sciences
Year of Publication2009
JournalWeed Research
Journal citation49 (2), pp. 207-216
Digital Object Identifier (DOI)doi:10.1111/j.1365-3180.2008.00678.x
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
ADAS
Glasgow Caledonian and the Scottish Agricultural College
BASF
Bayer
Dow AgroSciences Ltd.
DuPont
Syngenta
DEFRA - Department for Environment, Food and Rural Affairs UK
HGCA - Home Grown Cereals Authority
Funder project or codePDM
MCB
ISSN00431737
PublisherWiley

Permalink - https://repository.rothamsted.ac.uk/item/8q26z/using-stochastic-dynamic-programming-to-support-weed-management-decisions-over-a-rotation

3 total views
0 total downloads
0 views this month
0 downloads this month