| |
| Web URL(s): | https://dl.sciencesocieties.org/publications/aj/pdfs/81/2/AJ0810020312
Last checked: 12/14/2016
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Fermanian, T. W.;
Michalski, R. S. |
|---|
| Author Affiliation: | Dep. of Horticulture, Univ. of Illinois and Dep. of Comp. Sci., George Mason University |
|---|
| Title: | Weeder: an advisory system for the identification of grasses in turf. |
|---|
| Source: | Agronomy Journal. Vol. 81, No. 2, March/April 1989, p. 312-316. |
|---|
| Publishing Information: | Washington: American Society of Agronomy |
|---|
| # of Pages: | 5 |
|---|
| Keywords: | TIC Keywords: Agrostis stolonifera; Lolium perenne; Zoysia; Digitaria sanguinalis
|
|---|
| Abstract/Contents: | "To effectively control weeds found in a turf it is first necessary to correctly identify them. A computer program, WEEDER, was bulit using the artificial intelligence system AGASSISTANT to provide a means for effectively identifying grass weed and turf species through the recognition of selected variables. WEEDER has a rule-based, non-heirarchical knowledge base concerning 37 grass species commonly 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 commonly used method, the dichotomous 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 indiviual identified four unknown grasses; creeping bentgrass (Agrostis palustris Huds.); perennial ryegrass (Loliu perrene L.); zoysiagrass (Zoysia japonica L.); and large crabgrass (Digitaria sanguinalis [L.] Scop.) using WEEDER or a printed identification key. the maximum mean of either group to identify a grass species was 55% of the specimens, which were examined by participants with plant science training using WEEDER. Participants with some plant science training has a higher mean identification of each species (23% identified) than participants with no training (18%) when using the identification key. Little difference in their ability to identify the unknown species was found between the two groups when they were using WEEDER. There was a significant increase in the mean ability of all participants to identify an unknown grass using WEEDER (50%) rather than the identification key (20%) after rules for the four species were modified. A demonstrated advantage of WEEDER over the printed key was its ability to be easily modified to increase its usefulness. The mean percentage of correctly identified grasses by all participants increased from 11 to 50% after rules pertaining to the unknown grasses were modified to reflect variable values most consistently selected. No significant dependancy on a participant group was found for correctly identifying a grass species when using WEEDER after the rules were modified. Further testing of WEEDER is required to determine if the modified rules are consistent with additional grass sample and user populations." knowledge |
|---|
| Language: | English |
|---|
| References: | 10 |
|---|
| See Also: | Other items relating to: COMPU |
|---|
| Note: | Tables |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Fermanian, T. W., and R. S. Michalski. 1989. Weeder: an advisory system for the identification of grasses in turf.. Agron. J. 81(2):p. 312-316. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=14623 |
| If there are problems with this record, send us feedback about record 14623. |
| Choices for finding the above item: |
|---|
| Web URL(s):
https://dl.sciencesocieties.org/publications/aj/pdfs/81/2/AJ0810020312
Last checked: 12/14/2016
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
| 
MSU catalog number: S 22 .A45 |
| Find from within TIC:
Digitally in TIC by record number. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
