Francisco Gomez

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This work presents a Computer Vision prototype strategy for the automatic detection of mycotic infections on tomato crops. This Computer Vision method is based on the characterization of tomato leaflets (both healthy and early blight-infected regions of interest - ROIs) by color description (MPEG-7 standard descriptors). A small size ROI collection manually(More)
Tomato represents an important vegetable crop worldwide. During cropping cycle several diseases and abnormal conditions may affect tomato plants resulting on considerable losses of production. A precise identification of these pathologies in early phases is fundamental for the implementation of control strategies. Nevertheless, the right identification of(More)
Consumption of avocado (Persea americana Mill) has increased worldwide in recent years. Part of this food (skin and seed) is lost during processing. However, a high proportion of bioactive substances, such as polyphenols, remain in this residue. The primary objective of this study was to model the extraction of polyphenols from the avocado pits. In(More)
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