Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chris T. Leon"'
Publikováno v:
Weed Science. 51:557-564
Because of interest in monitoring crop response to weed interference, greenhouse experiments were conducted to evaluate interference of purple and yellow nutsedge on the growth, development, and spectral response of cotton and soybean. Cotton fresh w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c54c51a836811e8ed71cd37157eb92
https://doi.org/10.1614/0043-1745(2003)051[0557:eopcra]2.0.co
https://doi.org/10.1614/0043-1745(2003)051[0557:eopcra]2.0.co
Autor:
Michael S. Cox, Milton C. Wardlaw, Chris T. Leon, Brian Ward, David R. Shaw, Melinda J. Abshire, C. E. Watson
Publikováno v:
Precision Agriculture. 4:359-384
Remote sensing during the production season can provide visual indications of crop growth along with the geographic locations of those areas. A grid coordinate system was used to sample cotton and soybean fields to determine the relationship between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a324aa3bad88a5e9b3fc9ece0841f7a
https://doi.org/10.1023/a:1026387830942
https://doi.org/10.1023/a:1026387830942
Publikováno v:
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).
To detect any differences in the leaf reflectance of weed-free soybean versus soybean in the presence of purple nutsedge, a brushlet-based automated classification system is presented in this paper. For a given hyperspectral reflectance curve, the au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab8a0b64ab1dc2ff7d40ccc7d0bb366
https://doi.org/10.1109/igarss.2001.976211
https://doi.org/10.1109/igarss.2001.976211
Autor:
Chris T. Leon, David R. Shaw, Michael S. Cox, Melinda J. Abshire, Brian Ward, MiLton C. Wardlaw III
Publikováno v:
Precision Agriculture; Dec2003, Vol. 4 Issue 4, p359-384, 26p