Ana Alexandra Mendes Ferreira PhD Collaborator

CV Ciência Vitae

BIO

Name: Ana Alexandra Mendes Ferreira

Aggregation: PhD Collaborator

Orcid ID: 0000-0002-2624-0761

Ciência Vitae: 251A-BF4F-559D

Email: anamf@utad.pt

Research Tasks

Innovative technologies and processes

Valorisation of bio-based products and and co-products

Publications

Machine Learning Techniques Disclose the Combined Effect of Fermentation Conditions on Yeast Mixed-Culture Dynamics and Wine Quality

Barbosa C., Ramalhosa E., Vasconcelos I., Reis M., Mendes-Ferreira A., (2022) Machine Learning Techniques Disclose the Combined Effect of Fermentation Conditions on Yeast Mixed-Culture Dynamics and Wine Quality Microorganisms 10 (107). ISSN: 20762607. doi: 10.3390/microorganisms10010107.

Application of hyperspectral imaging and deep learning for robust prediction of sugar and ph levels in wine grape berries

Gomes V., Mendes-Ferreira A., Melo-Pinto P., (2021) Application of hyperspectral imaging and deep learning for robust prediction of sugar and ph levels in wine grape berries Sensors 21 (3459). doi: 10.3390/s21103459.

Determination of sugar, ph, and anthocyanin contents in port wine grape berries through hyperspectral imaging: An extensive comparison of linear and non-linear predictive methods

Gomes V., Rendall R., Reis M.S., Mendes-Ferreira A., Melo-Pinto P., (2021) Determination of sugar, ph, and anthocyanin contents in port wine grape berries through hyperspectral imaging: An extensive comparison of linear and non-linear predictive methods Applied Sciences (Switzerland) 11 (10319). ISSN: 20763417. doi: 10.3390/app112110319.

Prediction of sugar content in port wine vintage grapes using machine learning and hyperspectral imaging

Gomes V., Reis M.S., Rovira-Más F., Mendes-Ferreira A., Melo-Pinto P., (2021) Prediction of sugar content in port wine vintage grapes using machine learning and hyperspectral imaging Processes 9 (1241). ISSN: 22279717. doi: 10.3390/pr9071241.

Projects

Vine & Wine PT - Driving Sustainable Growth Through Smart Innovation

Running

Coordinator / Jorge Dias UTAD/CITAB Coordinator / Raul Santos
Start date / 2021/11 Funding / IAPMEI - PRR - Recovery and Resilience Plan / Mobilising Agendas Reference / C644866286-00000011

See project details →