Title :
Prediction of Parthenium weed infestation using fuzzy logic applied to geographic information system (GIS) spatial image
Author :
Chiou, Andrew ; Yu, Xinghuo
Author_Institution :
Fac. of Informatics & Commun., Central Queensland Univ., Rockhampton, Qld., Australia
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper demonstrates the framework and methodology how Parthenium weed population can be predicted using rule-base fuzzy logic as applied to GIS spatial image
Keywords :
agriculture; ecology; fuzzy logic; geographic information systems; knowledge based systems; spatial reasoning; vegetation mapping; Australia; Central Queensland; GIS spatial image; fuzzy logic; geographic information system spatial image; parthenium weed infestation prediction; rule-base fuzzy logic; Australia; Computational Intelligence Society; Costs; Economic forecasting; Electrical equipment industry; Expert systems; Fuzzy logic; Geographic Information Systems; Industrial control; Informatics;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1008911
