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

Computers and Electronics in Agriculture

Volumn 65, Issue 2, 2009, Pages 155-167

  Parsons, D J ^a,d   Benjamin, L R ^b   Clarke, J ^c   Ginsburg, D ^c   Mayes, A ^b   Milne, A E ^b,d   Wilkinson, D J ^d  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b ROTHAMSTED RESEARCH   (United Kingdom)

^c ADAS BOXWORTH   (United Kingdom)

^d SILSOE RESEARCH INSTITUTE   (United Kingdom)

Author keywords

Decision support; Dynamic programming; Heuristics; Models; Optimisation; Stochastic; Weeds

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; CROPS; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; DYNAMIC PROGRAMMING; HEURISTIC METHODS; MANAGERS; PEST CONTROL; PROGRAMMING THEORY; RANDOM PROCESSES; SYSTEMS ENGINEERING; USER INTERFACES; WEED CONTROL;

DECISION SUPPORT; HEURISTICS; MODELS; OPTIMISATION; STOCHASTIC; WEEDS;

STOCHASTIC MODELS;

AGRICULTURAL RESEARCH; AGRICULTURAL TECHNOLOGY; ARABLE FARMING; DECISION SUPPORT SYSTEM; HEURISTICS; OPTIMIZATION; POPULATION DYNAMICS; POPULATION MODELING; SEED; WEED CONTROL;

TRITICUM AESTIVUM;

EID: 58949083696     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2008.08.007     Document Type: Article

References (28)

1. Benjamin, L.R., Milne, A.E., Lutman, P.J.W., Parsons, D.J., Cussans, J., Storkey, J. Modelling weed management over a rotation in the UK using stochastic dynamic programming to create a decision tool. Weed Res., in press.
2. Bennett A.C., Price A.J., Sturgill M.C., Buol G.S., and Wilkerson G.G. HADSS (TM), pocket HERB (TM), and WebHADSS (TM): decision aids for field crops. Weed Technol. 17 2 (2003) 412-420
3. Berti A., Bravin F., and Zanin G. Application of decision-support software for postemergence weed control. Weed Sci. 51 (2003) 618-627
4. Coble H.D., and Mortensen D.A. The threshold concept and its application to weed science. Weed Technol. 6 (1992) 191-195
5. Cousens R., Doyle C.J., Wilson B.J., and Cussans G.W. Modelling the economics of controlling Avena fatua in winter wheat. Pestic. Sci. 17 (1986) 1-12
6. Doyle C.J., Cousens R., and Moss S.R. A model of the economics of controlling Alopecurus myosuroides Huds. in winter wheat. Crop Prot. 5 (1986) 143-150
7. Evans S.A. Weed Destruction (1962), Blackwell Scientific Publications, Oxford
8. Fisher B.S., and Lee R.R. A dynamic programming approach to the economic control of weed and disease infestations in wheat. Rev. Market. Agric. Econ. 49 3 (1981) 175-187
9. Howard A.J. Dynamic Programming and Markov Processes (1960), Wiley, London
10. Kristensen K., and Rasmussen I.A. The use of a Bayesian network in the design of a decision support system for growing malting barley without the use of pesticides. Comput. Electron. Agric. 33 3 (2002) 197-217
11. Knab W., and Hurle K. Einfluss der grundbodenarbeitung auf die verunkrautung - ein beitrag zur prognose der verunkrautung. Proceedings EWRS Symposium 1986 (1986), Economic Weed Control, Stuttgart, Germany 309-316
12. Kropff M.J., and van Laar H.H. Modelling Crop-Weed Interactions (1993), CAB International, Wallingford, UK
13. Kropff M.J., Lotz L.A.P., Weaver S.E., Bos H.J., Wallinga J., and Migo T. A two parameter model for prediction of crop loss by weed competition from early observations of relative leaf area of the weeds. Ann. Appl. Biol. 126 (1995) 329-346
14. Macé K., Morlon P., Munier-Jolain, Nicolas, and Quéré L. Time scales as a factor in decision-making by French farmers on weed management in annual crops. Agric. Sys. 93 (2007) 114-142
15. Marshall E.J.P., Brown V.K., Boatman N.D., Lutman P.J.W., Squire G.R., and Ward L.K. The role of weeds in supporting biological diversity within crop fields. Weed Res. 43 2 (2003) 77-89
16. Milne A.E., Paveley N., Audsley E., and Livermore P. A wheat canopy model for use in disease management decision support systems. Ann. Appl. Biol. 143 (2003) 265-274
17. Moss S.R. The seed cycle of Alopecurus myosuroides in winter cereals: a quantitative analysis. Symposium on Integrated Weed Management in Cereals. Proceedings of an EWRS Symposium. Helsinki, Finland, 4-6 June 1990 (1990), European Weed Research Society, Wageningen, Netherlands 27-35
18. Munier-Jolain N.M., Chauvel B., and Gasquez J. Long-term modelling of weed control strategies: analysis of threshold-based options for weed species with contrasted competitive abilities. Weed Res. 42 (2002) 107-122
19. Murali N.S., Secher B.J.M., Rydahl P., and Andreasen F.M. Application of information technology in plant protection in Denmark: from vision to reality. Comput. Electron. Agric. 22 (1999) 109-115
20. Nesser C., Dille J.A., Krishnan G., Mortensen D.A., Rawlinson J.T., Martin A.R., and Bills L.B. WeedSOFT(R): a weed management decision support system. Weed Sci. 52 1 (2004) 115-122
21. Parker C., Park C., and Ginsburg D. Workshops as a cost-effective way to gather requirements and test user interface usability? Findings from WMSS, a decision support development project. In: McCabe P.T. (Ed). Contemporary Ergonomics, Proceedings of the Annual Conference of the Ergonomics Society (2004), CRC Press, Boca Raton 551-556
22. Parsons, D.J., Mayes, J.A., Meakin, P., Offer, A., Paveley, N., 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, Association of Applied Biologists, Warwick, UK", 55-66.
23. Peters, N.C.B., Froud-Williams, R.J., Orson, J.H., 1993. The rise of barren brome Bromus sterilis in UK cereal crops. In: Proceedings of an International Conference, Brighton, UK, 22-25 November 1993. British Crop Protection Council, Farnham, "Weeds", vol. 2, pp. 773-780.
24. Sells J.E. Optimising weed management using stochastic dynamic programming to take account of uncertain herbicide performance. Agric. Sys. 48 (1995) 271-296
25. Smith G.L., Freckleton R.P., Firbank L.G., and Watkinson A.R. The population dynamics of Anisantha sterilis in winter wheat: comparative demography and the role of management. J. Appl. Ecol. 36 (1999) 455-471
26. Tatnell, L.V., Clarke, J.H., Ginsburg, D., Lutman, P.J.W., Mayes, J.A., Benjamin, L., Parsons, D.J., Milne, A.E., Wilkinson, D.J., Davies, D.H.K., 2006. Development and validation of 'Weed Management Support System' (Weed Manager). Project Report No. 388, Home-Grown Cereals Authority, London, 128 pp. (Available from http://www.hgca.com/cms_publications.output/2/2/Publications/Publication /Development%20and%20validation%20of%20'weed%20management%20support%20sy stem'%20.(weed%20manager).mspx?fn=show&pubcon=3029, accessed 2 June 2008.)
27. Thomas, M.R., Turner, J.A., Wardman, O.L., Maidment, E., 2000. LIAISON - a broadly based agronomic information system serving UK agriculture, horticulture and the food industry. In: Proceedings of an International Conference, Brighton, UK, 13-16 November 2000. British Crop Protection Council, Farnham, "Pests and Disease", vol. 3, pp. 1285-1290.
28. Zwerger P., and Hurle K. Untersuchungen zur Abbildungsgüte simulierter Befallsverlaüfe bei Unkräutern. Zeitschrift fur Pflanzenkrankheiten und Pflanzenschutz 97 (1990) 133-141