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Weed Manager-A model-based decision support system for weed management in arable crops

By David J. Parsons, L. R. Benjamin, J. Clarke, D. Ginsburg, A. Mayes, A. E. Milne and D. J. Wilkinson


Weed Manager is a model-based decision support system to assist arable farmers and advisers in weed control decisions on two time scales: within a single season and over several years in a rotation. The single season decision is supported by a wheat crop and annual weed growth simulation, with a multi-stage heuristic decision model. The rotational aspect uses a model of seed population dynamics, with decisions optimised using stochastic dynamic programming. Each time scale has its own user interface within a single program integrated into the ArableDS framework, which provides data sharing between several decision support modules. Weed Manager was used by about 100 farmers and consultants in the 2005–2006 and 2006–2007 sea

Topics: Weeds, Decision support, Models, Optimisation, Dynamic programming, Stochastic, Heuristics
Publisher: Elsevier Science B.V., Amsterdam.
Year: 2009
DOI identifier: 10.1016/j.compag.2008.08.007
OAI identifier:
Provided by: Cranfield CERES

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  8. (1960). Dynamic Programming and Markov Processes. doi
  9. (1986). Einfluss der grundbodenarbeitung auf die verunkrautung – ein beitrag zur prognose der verunkrautung
  10. (2003). HADSS (TM), pocket HERB (TM), and WebHADSS (TM): decision aids for field crops. doi
  11. (2002). Long-term modelling of weed control strategies: analysis of threshold-based options for weed species with contrasted competitive abilities. Weed Res. doi
  12. (1993). Modelling Crop-Weed Interactions. doi
  13. (1986). Modelling the economics of controlling Avena fatua in winter wheat. doi
  14. (2004). Taking DESSAC forward with the Arable Decision Support Community. Aspects Appl. Biol. 72 “Advances in applied biology: providing new opportunities for consumers and producers in the 21st century,
  15. (1999). The population dynamics of Anisantha sterilis in winter wheat: comparative demography and the role of management. doi
  16. (2003). The role of weeds in supporting biological diversity within crop fields. doi
  17. (1990). The seed cycle of Alopecurus myosuroides in winter cereals: a quantitative analysis. In:
  18. (1992). The threshold concept and its application to weed science.
  19. (2002). The use of a Bayesian network in the design of a decision support system for growing malting barley without the use of pesticides. doi
  20. (2007). Time scales as a factor in decision-making by French farmers on weed management in annual crops. doi
  21. (1962). Weed Destruction.
  22. (2004). WeedSOFT(R): a weed management decision support system. doi
  23. (2004). Workshops as a cost-effective way to gather requirements and test user interface usability? Findings from WMSS, a decision support development project. doi

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