Ripeness estimation of grape berries and seeds by image analysis |
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| Institution: | 1. Food Colour & Quality Lab., Department of Nutrition & Food Science, Facultad de Farmacia, Universidad de Sevilla, 41012-Sevilla, Spain;2. Department of Optics, Faculty of Sciences (Mecenas Building), University of Granada, 18071-Granada, Spain;1. College of Enology, Northwest A&F University, Yangling 712100, China;2. Shaanxi Engineering Research Center for Viti-Viniculture, Yangling 712100, China;3. Department of Horticulture, Sichuan Agricultural University, Wenjiang 611130, China;1. Department of Soil, Plant and Food Sciences, University of Bari ''Aldo Moro'', via G. Amendola 165/A, Bari 70126, Italy;2. Department of Mechanical Engineering, Politecnico di Milano, via Privata Giuseppe La Masa 1, Milano 20156, Italy;3. Department of Mechanical Engineering, Università di Brescia, via Branze 38, Brescia 25123, Italy;4. Agronomical consultant, Cantine Ermes Soc. Coop. Agr., via Villa Baldassarri snc, Guagnano (Le) 73010, Italy;5. Postharvest Research Laboratory, Department of Botany and Plant Biotechnology, University of Johannesburg, Johannesburg, South Africa;1. Department of Electrical Engineering, China Agricultural University, Beijing 100083, China;2. Department of Agricultural & Biological Engineering, University of Florida, Gainesville, FL 32611, United States;1. Australian Research Council Training Centre for Innovative Wine Production, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia;2. School of Agriculture, Food and Wine, and Waite Research Institute, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia;3. HORIBA Instruments Inc., 20 Knightsbridge Road, Piscataway, NJ 08854, United States;4. CSIRO Agriculture and Food, Locked Bag 2, Glen Osmond, SA 5064, Australia |
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| Abstract: | Digital imaging has become a powerful tool for the characterization and quality control of foodstuff. Because of the need to automate processes, faster tools are needed and Computer Vision is a good alternative to chemical analysis of many products in quality control. Appearance of grape seeds and grape berries change during the ripeness. These changes are closely related to the chemical composition, especially phenolics, which are very important compounds due to their implications on the intensity and stability of red wine colour. In this study, a complete characterization of grape seeds and grape berries by digital image analysis is described. The size of grapes and the veraison has been determined by image analysis and it has been also established an objective Browning Index of seeds. Morphological differences between varieties were studied by applying discriminant analysis models which allowed us to classify the grape seeds with high accuracy. |
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