about
Prediction of canned black bean texture (Phaseolus vulgaris L.) from intact dry seeds using visible/near-infrared spectroscopy and hyperspectral imaging data.Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams.Analysis and classification of commercial ham slice images using directional fractal dimension features.Genetic diversity and genome-wide association analysis of cooking time in dry bean (Phaseolus vulgaris L.).Characterization of fat-connective tissue size distribution in pre-sliced pork hams using multifractal analysis.Classification of pre-sliced pork and Turkey ham qualities based on image colour and textural features and their relationships with consumer responses.Three-dimensional pore space quantification of apple tissue using X-ray computed microtomography.Supervised neural network classification of pre-sliced cooked pork ham images using quaternionic singular values.Effects of the application of anti-browning substances on the metabolic activity and sugar composition of fresh-cut potatoesPreharvest Herbicide Treatments Affect Black Bean Desiccation, Yield, and Canned Bean ColorCalibrated color measurements of agricultural foods using image analysis
P50
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P50
description
researcher ORCID ID = 0000-0001-6575-8590
@en
wetenschapper
@nl
name
Fernando Mendoza
@ast
Fernando Mendoza
@en
Fernando Mendoza
@es
Fernando Mendoza
@nl
type
label
Fernando Mendoza
@ast
Fernando Mendoza
@en
Fernando Mendoza
@es
Fernando Mendoza
@nl
prefLabel
Fernando Mendoza
@ast
Fernando Mendoza
@en
Fernando Mendoza
@es
Fernando Mendoza
@nl
P1153
56259823300
P21
P31
P496
0000-0001-6575-8590