POGHAR Archives - HUMAIN Lab

Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes – Agronomy 2022, vol. 12, no. 9, 2113

05/09/2022

2022, Journals, Publications, POGHAR

Abstract Fourier-transform near infrared (FT-NIR) reflection spectra of intact berries of the grape variety Thompson seedless were used to predict total soluble solids (TSS) content. From an initial dataset, 12 subsets were considered by applying variable selection to extract the reflectance values at wavenumbers most correlated to the chemometrically measured TSS content. The datasets were processed by both multiple linear regression (MLR) and partial least squares (PLS) methods towards predicting the TSS content from the reflection values of each spectrum.…

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A. J. Daniels C. Chariskou E. Vrochidou V. G. Kaburlasos

A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques – Agronomy, vol. 12, no. 7, 1564, 2022

29/06/2022

humain

2022, Journals, Publications, POGHAR

C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, “A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques”, Agronomy, vol. 12, no. 7, 1564, 2022. https://doi.org/10.3390/agronomy12071564

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A. Karampatea C. Bazinas E. Vrochidou T. Kalampokas V. G. Kaburlasos

A review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation – EFITA International Conference 2021

12/11/2021

humain

2021, Publications, POGHAR

E. Vrochidou, C. Bazinas, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “A review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation”, 13th EFITA (European Federation for Information Technology in Agriculture, Food and Environment) International Conference, 25-26 May 2021. In: MDPI Engineering Proceedings 2021, 9 (1), 2; https://www.mdpi.com/2673-4591/9/1/2

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C. Bazinas E. Vrochidou G. A. Papakostas T. Pachidis V. G. Kaburlasos

Machine vision for ripeness estimation in viticulture automation – Horticulturae, vol. 7, iss. 9, 282, 2021

15/09/2021

humain

2021, Journals, Publications, POGHAR

E. Vrochidou, C. Bazinas, M. Manios, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, “Machine vision for ripeness estimation in viticulture automation”, Horticulturae, vol. 7, iss. 9, 282; https://www.mdpi.com/2311-7524/7/9/282 (Open Access). (Special Issue on “Advances in Viticulture Production”. Guest Editor: Massimo Bertamini)

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C. Bazinas E. Vrochidou G. A. Papakostas M. Manios T. P. Pachidis V. G. Kaburlasos

Grape stem detection using regression convolutional neural networks – Computers and Electronics in Agriculture, vol. 186, p. 106220, 2021

02/06/2021

humain

2021, Journals, Publications, POGHAR

Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, “Grape stem detection using regression convolutional neural networks,” Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016/j.compag.2021.106220.

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E. Vrochidou G. A. Papakostas T. Kalampokas T. Pachidis V. G. Kaburlasos