Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 62, Issue 1, 2007, Pages 2-12

  Monteiro, Sildomar Takahashi ^a   Minekawa, Yohei ^a   Kosugi, Yukio ^a   Akazawa, Tsuneya ^b   Oda, Kunio ^c  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b YAMAGATA UNIVERSITY   (Japan)

^c Yamagata General Agricultural Research Center   (Japan)

Author keywords

Agriculture; Hyperspectral image; Modeling; Neural networks; Spatial prediction

Indexed keywords

AMINO ACIDS; GLUCOSE; IMAGE PROCESSING; NEURAL NETWORKS; NITROGEN; PHOTOGRAMMETRY; REGRESSION ANALYSIS; REMOTE SENSING; SUGAR (SUCROSE);

CHEMICAL CONTENT; HYPERSPECTRAL IMAGERY; SOYBEAN CROPS; SPATIAL PREDICTION;

CROPS;

AMINO ACID; ARTIFICIAL NEURAL NETWORK; DATA PROCESSING; DATA SET; IMAGERY; MODELING; PREDICTION; SOYBEAN; SPECTRAL ANALYSIS;

FARM CROPS; PHOTOGRAMMETRY; REGRESSION ANALYSIS;

GLYCINE MAX;

EID: 34247515522     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2006.12.002     Document Type: Article

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