Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images

Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012

Volumn , Issue , 2012, Pages 302-308

  Kersting, Kristian ^a   Xu, Zhao ^a   Wahabzada, Mirwaes ^a   Bauckhage, Christian ^a   Thurau, Christian ^b   Roemer, Christoph ^e   Ballvora, Agim ^d   Rascher, Uwe ^c   Leon, Jens ^d   Pluemer, Lutz ^e  

^a FRAUNHOFER IAIS   (Germany)

^b Game Analytics Aps   (Denmark)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

^d Plant Breeding   (Germany)

^e UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DROUGHT; FORECASTING;

COMPUTATIONAL PROBLEM; DIRICHLET; DROUGHT STRESS; HYPERSPECTRAL; INTERPRETABILITY; LARGE-SCALE PREDICTION; MATHEMATICAL ABSTRACTION; PLANT PROTECTION; PREDICTION TASKS; STRESS PREDICTION;

HYPERSPECTRAL IMAGING;

EID: 85158141659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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