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Assessment of the plant health status based on hyperspectral and color image analysis towards the cGMP-compliant large-scale production of biopharmaceuticals in plants

 
: Dach, Claudia; Erpenbeck, Daniel; Rademacher, Thomas; Reimann, Andreas; Wittenberg, Thomas; Münzenmayer, Christian; Benz, Michaela

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Biomedizinische Technik 59 (2014), Nr.s1, S.S592-S595
ISSN: 0013-5585
ISSN: 1862-278X
Deutsche Gesellschaft für Biomedizinische Technik (DGBMT Jahrestagung) <48, 2014, Hannover>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag
Fraunhofer IIS ()
Verarbeitung; medizinische BV; Farbräume; Farbbilder; BV für die Botanik; Algorithmen

Abstract
Plant-based systems offer a promising alternative for the production of biopharmaceuticals and, just like classical production systems, have to comply with cGMP regulations if the biopharmaceuticals are intended for human use. To allow a more robust and reproducible process for the large-scale production of pharma plants in a novel automated plant prodcution facility at the Fraunhofer IME a monitoring system for the assessment of the plant health status was evaluated. Here we describe preliminary results of a plant monitoring system for the automatic detection of chlorotic and necrotic areas on tobacco leaves. Different analysis methods based on hyperspectral and RGB color images have been investigated to decide whether a hyperspectral monitoring system is required for the given application or not. The evaluation on 204 leaf samples shows that all tested methods are suitable for the detection of necrotic and chlorotic areas and therefore the hyperspectral monitoring system can be reduced to a more cost-saving setup consisting of conventional RGB cameras.

: http://publica.fraunhofer.de/dokumente/N-324854.html