| IDENTIFICATION OF GRASSES IN TURF (2007) | |||||||||||||
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| To effectively control weeds found in a turf it is first necessary to correctly identify them. A computer program, WEEDER, was built uslng the artificial intelligence system AGASSISTANT to provide a means for effectively i&nfifying grass weed and turf species through the recognition of selected variables. WEEDER has a rule-based, non-hierarchical knowledge base concerning 37 grass species com-monly found in turfs throughout the USA. Each species is represented by 11 or fewer variables. In order to measure the value of WEEDER for identifying unknown grasses in comparison to a com-mon! used methoB, the dichotomous iffentificalion key, 41 volunteers were assigned to one of two groups; (i) those with any previous experience in plant diagnosis or any formal training in plant science; and (ii) those with no experience or training. Each indiviffoal iffentitled four unknown grasses; creeping bentgrass (Agrostls palstris | |||||||||||||
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