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Wilson Manuel Castro Silupu
Wilson Manuel Castro Silupu
Universidad Nacional de Frontera
Dirección de correo verificada de unf.edu.pe
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Classification of cape gooseberry fruit according to its level of ripeness using machine learning techniques and different color spaces
W Castro, J Oblitas, M De-La-Torre, C Cotrina, K Bazán, H Avila-George
IEEE access 7, 27389-27400, 2019
1372019
Multilayer perceptron architecture optimization using parallel computing techniques
W Castro, J Oblitas, R Santa-Cruz, H Avila-George
PloS one 12 (12), e0189369, 2017
792017
Comparison between artificial neural network and partial least squares regression models for hardness modeling during the ripening process of Swiss-type cheese using spectral …
N Vásquez, C Magán, J Oblitas, T Chuquizuta, H Avila-George, W Castro
Journal of Food Engineering 219, 8-15, 2018
742018
Characterization of whey protein-based films incorporated with natamycin and nanoemulsion of α-tocopherol
C Agudelo-Cuartas, D Granda-Restrepo, PJA Sobral, H Hernandez, ...
Heliyon 6 (4), 2020
552020
MEASUREMENT PARAMETER OF COLOR ON YACON (SMALLANTHUS SONCHIFOLIUS) SLICES USING A COMPUTER VISION SYSTEM
E Saldaña, R Siche, W Castro, R Huamán, R Quevedo
LWT - Food Science and Technology, 1220-1226, 2014
492014
Application of image analysis to optimization of the bread-making process based on the acceptability of the crust color
W Castro, J Oblitas, T Chuquizuta, H Avila-George
Journal of Cereal Science 74, 194-199, 2017
422017
Economía circular en residuos de aparatos eléctricos y electrónicos
JFO Cruz, MES Terrones, EER de la Puente, WMC Silupu
Revista de Ciencias Sociales (Ve) 25 (4), 196-208, 2019
282019
Computer vision system in real-time for color determination on flat surface food
E Saldaña, R Siche, R Huamán, RQ Mariano Luján, Wilson Castro
Scientia Agropecuaria 4 (1), 55-63, 2013
252013
Multivariate analysis and machine learning for ripeness classification of cape gooseberry fruits
M De-la-Torre, O Zatarain, H Avila-George, M Muñoz, J Oblitas, R Lozada, ...
Processes 7 (12), 928, 2019
232019
Computer vision applied to food and agricultural products
JA Fracarolli, FFA Pavarin, W Castro, J Blasco
Revista Ciência Agronômica 51, 2021
222021
Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images.
W Castro, J Oblitas, J Maicelo, H Avila-George
Int. J. Comput. Intell. Syst. 11 (1), 86-100, 2018
212018
Control de proyectos de Responsabilidad Social empresarial: Estudio en empresas mineras
EER de la Puente, FLR Chavez, JO Cruz, WC Silupu
Revista Venezolana de Gerencia 24 (87), 684-700, 2019
182019
Determination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools
I Yoplac, H Avila-George, L Vargas, P Robert, W Castro
Heliyon 5 (7), 2019
162019
Information technologies for the formation of socio-productive networks: Theorical reflections
YM Oca Rojas, WMC Silupu, RM Romero, CT Jonathan, CB Bastidas
RISTI-Revista Iberica De Sistemas e Tecnologias De Informacao, 151-160, 2020
142020
Feasibility of using spectral profiles for modeling water activity in five varieties of white quinoa grains
W Castro, JM Prieto, R Guerra, T Chuquizuta, WT Medina, ...
Journal of Food Engineering 238, 95-102, 2018
142018
Using artificial neural networks for detecting damage on tobacco leaves caused by blue mold
H Avila-George, T Valdez-Morones, H Pérez-Espinosa, ...
STRATEGIES 9 (8), 2018
142018
Computer vision system for the optimization of the color generated by the coffee roasting process according to time, temperature and mesh size
J Oblitas Cruz, W Castro Silupu
Ingeniería y Universidad 18 (2), 355-368, 2014
122014
Amazonian cacao-clone nibs discrimination using NIR spectroscopy coupled to naïve Bayes classifier and a new waveband selection approach
W Castro, M De-la-Torre, H Avila-George, J Torres-Jimenez, A Guivin, ...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 270, 120815, 2022
112022
Aplicación de la tecnología de imágenes hiperespectrales al control de calidad de productos agroalimentarios de la región de amazonas (Perú)
W Castro
Universidad Politécnica de Valencia, 2015
112015
Using machine learning techniques and different color spaces for the classification of Cape gooseberry (Physalis peruviana L.) fruits according to ripeness level
W Castro, J Oblitas, M De-la-Torre, C Cotrina, K Bazán, H Avila-George
PeerJ Preprints 7, e26691v2, 2019
10*2019
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