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Sustainable collective pest management using a Graph-based Markov Decision Processes framework
| Content Provider | Semantic Scholar |
|---|---|
| Author | Aubertot, Jean-Noël Cros, Marie-Josée Peyrard, Nathalie Sabbadin, Régis |
| Copyright Year | 2016 |
| Abstract | For environmental, ecological and human health sustainability, there is a great need to limit the structural dependency of agriculture on pesticides while, at the same time, maintaining satisfactory levels of production and farmers’ gross margins. A model was developed to explore the consequences of various management policies to contain blackleg on canola, on a long term basis. This model relies on the Graph-based Markov Decision Processes (GMDP) framework, that allows representing and optimizing sequential decisions under uncertainty, taking into account interactions between fields (spore dispersal). The objective of the study is to help better enforce management practices such as cultivar choice, crop management, and soil tillage. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1436&context=iemssconference |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
