CI Lectures Series - Wine grape ripeness assessment using Hyperspectral Imaging and Machine Learning

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The wine industry has been striving to achieve differentiation in their products and to improve their quality and consistency, which involves harvesting grapes at the optimal maturity point and selecting them according to the desired characteristics of the wine to be produced. In this context, hyperspectral imaging (HSI) combined with machine learning algorithms (ML) is a promising alternative to predict important oenological parameters and assist on harvesting critical decisions. However, the large amount of data generated by HSI, together with the large variability associated with the problem (varieties involved, climate, terroir, etc.), raise unusual challenges for data-driven modelling. Several ML approaches have been proposed to handle such data characteristics, but selecting a suitable methodology that best address the problem under study and make sure it generalizes well, is a cumbersome task. Our work is focused in two fundamental and novel aspects to address the natural variability arising from different grape varieties, vintages and growth conditions: the essential wavelength bands selection (with the purpose of reducing the dimensionality of data without losing predictive power) and the generalization ability of the ML model under such demanding conditions.

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  • Date: 24 Feb 2021
  • Time: 05:00 PM to 06:00 PM
  • All times are (UTC+00:00) Lisbon
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Wine grape ripeness assessment using Hyperspectral Imaging and Machine Learning

Pedro Melo Pinto

Biography:

Pedro Melo Pinto graduated from University of Porto in 1984 and received a Ph.D. from the Universidade de Trás-os-Montes e Alto Douro in 1998, where he served as Pro-rector and is Full Professor.
He is a member of the CITAB-UTAD (Centre for the Research and Technology of Agro-Environmental and Biological Sciences) and of Centro ALGORITMI (Universidade do Minho). He has published over 100 papers in international journals, book chapters and conferences. He has been involved in more than 20 national and international research projects, he currently serves as member of Comissão de Acompanhamento das Infraestruturas Estratégicas Nacionais - Área Temáticas Digitais and of the editorial board of Remote Sensing and Journal of Advanced Computational Intelligence and Intelligent Informatics and he has co- edited the Fuzzy Sets & Systems special issue on Fuzzy Methods for Knowledge- Based Systems.
He is also a member of the reviewer board for many journals including Information Sciences, Expert Systems with Applications, Fuzzy Sets and Systems, Sensors and Food Chemistry. He was Chair of EuroFuse 2011 and NATO 2001 Advanced Research Workshop. He is member of the International Society of Applied Intelligence and of APPIA (Associação Portuguesa Para a Inteligência Artificial).
His current scientific interests include Computer Vision, Digital Image Processing and Machine Learning, in particular its applications to the Agro-forestry area.