Towards Discrimination of Plant Species by Machine Vision: Advanced Statistical Analysis of Chlorophyll Fluorescence Transients

0341134 - ÚVGZ 2010 RIV US eng J - Článek v odborném periodiku
Mishra, Kumud … celkem 4 autorů
Towards Discrimination of Plant Species by Machine Vision: Advanced Statistical Analysis of Chlorophyll Fluorescence Transients.
Journal of Fluorescence. Roč. 5, č. 19 (2009), s. 905-913. ISSN 1053-0509. E-ISSN 1573-4994
Výzkumný záměr: CEZ:AV0Z60870520
Klíčová slova: ARTIFICIAL NEURAL-NETWORKS * FEATURE-SELECTION * WEED DETECTION
Kód oboru RIV: CE - Biochemie
Impakt faktor: 2.017, rok: 2009

Automatic discrimination of plant species is required for precision farming and for advanced environmental protection. Here, we investigated the discriminative potential of chlorophyll fluorescence imaging in a case study using three closely related plant species of the family Lamiaceae. We compared discriminative potential of eight classifiers and four feature selection methods to identify the fluorescence parameters that can yield the highest contrast between the species. The ability of the combinatorial statistical techniques for discriminating the species was compared to the resolving power of conventional fluorescence parameters and found to be more efficient.
Trvalý link: http://hdl.handle.net/11104/0184213