| |
| Web URL(s): | https://www.golfmanager-greenkeeper.de/fileadmin/content/Importe_gk_ra/2019/ra0319_s52bis53.pdf
Last checked: 01/27/2020
Requires: PDF Reader |
|---|
| Publication Type:
| Report |
|---|
| Author(s): | Hahn, Daniel;
Roosjen, P.;
Nijp, J.;
Leinauer, Bernd |
|---|
| Author Affiliation: | Hahn: Wageningen University and Research Centre for Crop Systems Analysis; Roosjen and Nijp: Wageningen University and Research; Leinauer: Professor and New Mexico State Uni. (NMSU) and Wageningen University |
|---|
| Title: | Object based image analysis of high resolution multi-spectral imagery for classifying and quantifying weeds in turfgrass areas |
|---|
| Source: | European Journal of Turfgrass Science. Vol. 50, No. 3, Oktober 2019, p. 52-53. |
|---|
| Publishing Information: | Bonn, Germany: Hortus Verlag |
|---|
| # of Pages: | 2 |
|---|
| Language: | English
German |
|---|
| References: | 3 |
|---|
| Note: | Plot maps
Flow chart
Tables
Graphs |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hahn, D., P. Roosjen, J. Nijp, and B. Leinauer. 2019. Object based image analysis of high resolution multi-spectral imagery for classifying and quantifying weeds in turfgrass areas. Rasen Turf Gazon. 50(3):p. 52-53. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=310163 |
| If there are problems with this record, send us feedback about record 310163. |
| Choices for finding the above item: |
|---|
| Web URL(s):
https://www.golfmanager-greenkeeper.de/fileadmin/content/Importe_gk_ra/2019/ra0319_s52bis53.pdf
Last checked: 01/27/2020
Requires: PDF Reader |
| 
MSU catalog number: b2186393a |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
