Risk prediction for weed infestation using classification rules | IEEE Conference Publication | IEEE Xplore

Risk prediction for weed infestation using classification rules


Abstract:

This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the syste...Show More

Abstract:

This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from estimated maps by kriging for the weed seed production and weed coverage, and from the competitiveness, inferred from narrow and broad-leaved weeds. Furthermore, a Bayesian network classifier is used to extract rules from data which are compared to the fuzzy rule set obtained on the base of specialist knowledge. Results for the risk inference in a maize crop field are presented and evaluated by the estimated yield loss.
Date of Conference: 08-10 July 2009
Date Added to IEEE Xplore: 09 October 2009
ISBN Information:
Print ISSN: 1085-1992
Conference Location: St. Petersburg, Russia

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