ANN-based method for olive Ripening Index automatic prediction

Journal of Food Engineering

Volumn 101, Issue 3, 2010, Pages 318-328

  Furferi, Rocco ^a   Governi, Lapo ^a   Volpe, Yary ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Artificial neural networks; Machine vision system; Ripening index

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATIC PREDICTION; CHEMICAL PARAMETERS; ENVIRONMENTAL CONDITIONS; EVALUATION TECHNIQUES; HARVESTING PERIODS; MACHINE VISION SYSTEMS; NOVEL METHODS; OIL CONTENTS; OLIVE OIL; PHENOL CONTENT; RIPENING INDEX; SCIENTIFIC LITERATURE; SUGAR CONTENT;

COLOR; COMPUTER VISION; FORECASTING; PETROLEUM REFINING; PHENOLS; SUGAR (SUCROSE); VEGETABLE OILS;

NEURAL NETWORKS;

OLEACEAE;

EID: 77955710889     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2010.07.016     Document Type: Article

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