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Sensing and Biology

About

The Sensing & Biology group joins a group of researchers from the physical and biological sciences in order to develop sensing tools for problems encountered (mainly, at this stage) in agriculture and post-harvest management. The Sensing & Biology group is responsible for the research line "Intelligent Sensing in Biology".

The main areas of research include:

  • Non destructive determination of fruit and vegetable internal quality properties through diffuse reflectance spectroscopy
  • Early determination of tree physiopathologies through optical methods
  • Early detection of scald through fluorescence measurements

Coordinator

Members

Selected Publications

An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

Chemometrics and Intelligent Laboratory Systems | 2021

Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios

Chemometrics and Intelligent Laboratory Systems | 2021

Spatiotemporal modelling of the quality and ripening of two cultivars of "Algarve Citrus" orchards at different edaphoclimatic conditions

POSTHARVEST BIOLOGY AND TECHNOLOGY | 2021

Nondestructive simultaneous prediction of internal browning disorder and quality attributes in ‘Rocha’ pear (Pyrus communis L.) using VIS-NIR spectroscopy

Postharvest Biology and Technology | 2021

Deep multiblock predictive modelling using parallel input convolutional neural networks

Analytica Chimica Acta | 2021

A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit

Chemometrics and Intelligent Laboratory Systems | 2021