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| Tyystjärvi, Esa; Nørremark, Michael; Mattila, Heta; Keränen, Mika; Hakala-Yatkin, Marja; Ottosen, Carl-Otto; Rosenqvist, Eva. |
| Automatic identification of crop and weed species is required for many precision farming practices. The use of chlorophyll fluorescence fingerprinting for identification of maize and barley among six weed species was tested. The plants were grown in outdoor pots and the fluorescence measurements were done in variable natural conditions. The measurement protocol consisted of 1 s of shading followed by two short pulses of strong light photosynthetic photon flux density 1700 lmol m-2 s-1) with 0.2 s of darkness in between. Both illumination pulses caused the fluorescence yield to increase by 30–60% and to display a rapid fluorescence transient resembling transients obtained after long dark incubation. A neural network classifier, working on 17 features... |
| Tipo: Journal paper |
Palavras-chave: Weed management. |
| Ano: 2011 |
URL: http://orgprints.org/20654/4/20654.pdf |
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