Artificial vision and chemometrics analyses of olive stones for varietal identification of five French cultivars

Computers and Electronics in Agriculture

Volumn 102, Issue , 2014, Pages 98-105

  Vanloot, Pierre ^a   Bertrand, Dominique ^c   Pinatel, Christian ^b   Artaud, Jacques ^a   Dupuy, Nathalie ^a  

^a AIX MARSEILLE UNIVERSITY   (France)

^b Maison des Agriculteurs   (France)

^c DATA FRAME   (France)

Author keywords

Artificial vision; Chemometrics; Olive stone; PLS2 DA; Varietal identification

Indexed keywords

AGRICULTURAL ROBOTS; COMPUTER VISION; DISCRIMINANT ANALYSIS; FRUITS;

CHEMOMETRIC TREATMENT; CHEMOMETRICS; CHEMOMETRICS ANALYSIS; OLIVE FRUITS; OLIVE STONES; PARTIAL LEAST SQUARE (PLS); PLS2-DA; STONE FRUIT;

VISION;

AGRICULTURAL TECHNOLOGY; ARTIFICIAL NEURAL NETWORK; CULTIVAR; FRUIT; TRADITIONAL AGRICULTURE; VISION;

FRANCE;

EID: 84893627173     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.01.009     Document Type: Article

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