Neural network algorithm for coffee ripeness evaluation using airborne images

Applied Engineering in Agriculture

Volumn 23, Issue 3, 2007, Pages 379-387

  Furfaro, Roberto ^a   Ganapol, Barry D ^a,b   Johnson, Lee F ^c,e   Herwitz, Stanley R ^d,e  

^a University of Arizona   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c CALIFORNIA STATE UNIVERSITY   (United States)

^d CLARK UNIVERSITY   (United States)

^e NASA AMES RESEARCH CENTER   (United States)

Author keywords

Coffee arabica L.; Model inversion; Neural networks; Radiative transfer; Remote sensing; Ripeness evaluation

Indexed keywords

ALGORITHMS; HARVESTING; NEURAL NETWORKS; RADIATIVE TRANSFER; REFLECTION; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV);

HIGH-RESOLUTION SURFACE REFLECTANCE IMAGES; NEAR-INFRARED CROP CANOPY REFLECTANCE; RIPENESS EVALUATION;

CROPS;

EID: 34347210668     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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