Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
- 30 June 2009
- journal article
- research article
- Published by Elsevier BV in Engineering Applications of Artificial Intelligence
- Vol. 22 (4-5), 579-592
- https://doi.org/10.1016/j.engappai.2009.03.006
Abstract
No abstract availableThis publication has 24 references indexed in Scilit:
- A classification methodology for the risk of weed infestation using fuzzy logicWeed Research, 2008
- Biomass Based Weed-Crop Competitiveness Classification Using Bayesian NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Modelling Replicated Weed Growth Data using Spatially-varying Growth CurvesEnvironmental and Ecological Statistics, 2005
- Large-scale investigation of weed seed identification by machine visionComputers and Electronics in Agriculture, 2005
- Weed and crop discrimination using image analysis and artificial intelligence methodsComputers and Electronics in Agriculture, 2003
- A risk‐qualified approach to calculate locally varying herbicide application ratesWeed Research, 2002
- Learning Bayesian networks from data: An information-theory based approachArtificial Intelligence, 2002
- Weed seeds identification by machine visionComputers and Electronics in Agriculture, 2002
- On the Optimality of the Simple Bayesian Classifier under Zero-One LossMachine Learning, 1997
- A model of interference within plant monoculturesJournal of Theoretical Biology, 1985