Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6378856 | Postharvest Biology and Technology | 2011 | 6 Pages |
Abstract
â¶ To develop robust and accurate models for quality prediction is a critical challenge. â¶ A LOCAL algorithm is valuable in minimizing error in NIRS models for firmness. â¶ LOCAL offered no advantages over MPLS other quality parameters tested. â¶ The structure and distribution of the database must show all spectral variability. â¶ Hundreds of highly heterogeneous nectarines are needed to show natural fruit variability.
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Authors
MarÃa-Teresa Sánchez, MarÃa-José De la Haba, José-Emilio Guerrero, Ana Garrido-Varo, Dolores Pérez-MarÃn,