Prediction of citrus yield from airborne hyperspectral imagery

Precision Agriculture

Volumn 8, Issue 3, 2007, Pages 111-125

  Ye, Xujun ^a   Sakai, Kenshi ^a   Manago, Masafumi ^b   Asada, Shin Ichi ^c   Sasao, Akira ^a  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

^b TOKYO UNIVERSITY OF AGRICULTURE   (Japan)

^c Kanagawa Agricultural Technology Center   (Japan)

Author keywords

Citrus; Hyperspectral imagery; Partial least squares (PLS); Prediction model; Regression; Remote sensing; Satsuma mandarin

Indexed keywords

CANOPY ARCHITECTURE; CROP YIELD; ECOLOGICAL MODELING; FRUIT; GROWING SEASON; MANAGEMENT PRACTICE; NDVI; ORCHARD; PREDICTION; REGRESSION ANALYSIS; SATELLITE IMAGERY; SPECTRAL REFLECTANCE;

CITRUS;

EID: 34447118981     PISSN: 13852256     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11119-007-9032-2     Document Type: Article

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