Scientific Articles (click in the DOI to access)

In press

2020

  • Teixeira Badaró A, Amigo JM, Blasco J, Aleixos N, Rios Ferreir A, Pedrosa Silva Clerici MT, Barbin DF (2020) Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta. Food Chemistry (accepted). DOI: j.foodchem.2020.128517.
  • Munera M, Gómez-Sanchís J, Aleixos N, Vila-Francés J, Colelli G, Cubero S, Soler E, Blasco J (2021) Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques. Postharvest Biology and Technology, 171, 111356. DOI: j.postharvbio.2020.111356.
  • Cubero S, Marco-Noales E, Aleixos N, Barbé S, Blasco J (2020) RobHortic: a field robot to detect pests and diseases in horticultural crops by proximal sensing. Agriculture. Special Issue “Enhancing Surveillance and Detection of Invasive Harmful Plant Pathogens and Pests”, 10, 276. DOI: 10.3390/agriculture10070276.
  • Tamayo Monsalve MA, Osorio G, Montes NL, Lopez-Alamán S, Cubero S, Blasco J (2020) Characterization of a multispectral imaging system based on narrow bandwidth power LEDs. IEEE Transactions on Instrumentation & Measurement (Acepted). DOI: 10.1109/TIM.2020.3010109.
  • Cubero S, Marco-Noales E, Aleixos N, Barbé S, Blasco J (2020) RobHortic: a field robot to detect pests and diseases in horticultural crops by proximal sensing. Agriculture. Special Issue “Enhancing Surveillance and Detection of Invasive Harmful Plant Pathogens and Pests”, 10, 276. DOI: 10.3390/agriculture10070276 OPEN ACCESS
  • Walsh K, Blasco J, Zude-Sasse M, Sun X (2020) Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment. Postharvest Biology and Technology, 168, 111246. DOI: 10.1016/j.postharvbio.2020.111246 OPEN ACCESS
  • González-González MG, Gómez-Sanchis J, Blasco J, Soria E, Chueca P (2020) CitrusYield: A dashboard for mapping production and quality of citrus in precision agriculture. Agronomy, 10, 128. DOI: 10.3390/agronomy10010128 OPEN ACCESS

2019

 

    • Munera S, Hernandez F, Aleixos N, Cubero S, Blasco J (2019). Maturity monitoring of intact fruit and arils of pomegranate cv. ‘Mollar de Elche’ using machine vision and chemometrics. Postharvest Biology and Technology, 156, 110936. DOI: 10.1016/j.postharvbio.2019.110936
    • García Navarrete OL, Cubero S, Prats-Montalan JM (2019). Identification of mechanical damage in the ‘Fuji’ apple cv. using artificial hyperspectral vision. Revista DYNA, 86(210), 224-232. DOI: 10.15446/dyna.v86n210.78605 OPEN ACCESS
    • Munera S, Aleixos N, Besada C, Gomez-Sanchis J, Salvador A, Cubero S, Talens P, Blasco J (2019). Discrimination of astringent and deastringed hard ‘Rojo Brillante’ persimmon fruit using a sensory threshold by means of hyperspectral imaging. Journal of Food Engineering, 263, 173-180. DOI: 10.1016/j.jfoodeng.2019.06.008
    • Munera S, Blasco J, Amigo JM, Cubero S, Talens P, Aleixos N (2019). Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines. Biosystems Engineering, 182, 54-64. DOI: 10.1016/j.biosystemseng.2019.04.001
    • Cortés V, Cubero S, Blasco J, Aleixos N, Talens, P (2019). In-line application of visible and near-infrared diffuse reflectance spectroscopy to identify apple varieties. Food and Bioprocess Technology. DOI: 10.1007/s11947-019-02268-0
    • Rey B, Aleixos N, Cubero S, Blasco J (2019). XF-ROVIM. A field robot to detect olive trees infected by Xylella fastidiosa using proximal sensing. Remote Sensing. Special Issue Advances in Remote Sensing Applications for the Detection of Biological Invasions, 11(3), 221. DOI: 10.3390/rs11030221 OPEN ACCESS
    • Cortés V, Blasco J, Aleixos N, Cubero S, Talens P (2019). Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review. Trends in Food Science & Technology, 85, 138–148. DOI: 10.1016/j.tifs.2019.01.015

 

2018

 

      • Cortés V, Barat JM, Talens P, Blasco J, Lerma-García MJ (2018). A comparison between NIR and ATR-FTIR spectroscopy for varietal differentiation of Spanish intact almonds. Food Control 94, 241-248. DOI: 10.1016/j.foodcont.2018.07.020.
      • Cubero S, Albert F, Fernández-Pacheco DG, Prats-Moltalbán JM, Blasco J, Aleixos N (2018). Application for the estimation of the standard Citrus Colour Index (CCI) using image processing in mobile devices. Biosystems Engineering, 167, 63-74. DOI: 10.1016/j.biosystemseng.2017.12.012.
      • Munera S, Amigo JM, Aleixos N, Talens P, Cubero S, Blasco J (2018). Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine. Food Control, 86, 1-10. DOI: 10.1016/j.foodcont.2017.10.037.
      • Munera S, Besada C, Blasco J, Cubero S, Salvador A, Talens P, Aleixos N (2018). Firmness prediction in ‘Rojo Brillante’ persimmon using hyperspectral imaging technology. Acta Hort. 1194, 761-768. DOI: 10.17660/ActaHortic.2018.1194.108
      • Munera S, Besada C, Blasco J, Cubero S, Gil R, Aleixos N, Salvador A (2018). Analysis of astringency distribution in ‘Rojo Brillante’ persimmon using hyperspectral imaging. Acta Hort. 1195, 233-238. DOI: 10.17660/ActaHortic.2018.1195.36

2017

 

      • Cortés V, Blasco J, Aleixos N, Cubero S, Talens, P (2017) Visible and near infrared diffuse reflectance spectroscopy for fast qualitative and quantitative assessment of nectarine quality. Food and Bioprocess Technology, 10, 1755-1766. DOI: 10.1007/s11947-017-1943-y.
      • Galdón-Navarro B, Prats-Montalbán JM, Cubero S, Blasco J, Ferrer A (2017) Comparison of latent variable-based and artificial intelligence methods for impurities detection in PET recycling from hyperspectral images. Journal of Chemometrics, 32, e2980. DOI: 10.1002/cem.2980.
      • Cortés V, Blanes C, Blasco J, Ortiz C, Aleixos N, Mellado M, Cubero S, Talens P (2017). Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment. Biosystems Engineering, 166,112-123. DOI: 10.1016/j.biosystemseng.2017.08.005.
      • Cortés V, Blasco J, Aleixos N, Cubero S, Talens P (2017) Sweet and nonsweet taste discrimination of nectarines using visible and near infrared spectroscopy. Postharvest Biology and Technology, 133, 113-120. DOI: 10.1016/j.postharvbio.2017.07.015.
      • Munera S, Amigo JM, Blasco J, Cubero S, Talens P, Aleixos N (2017) Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging. Journal of Food Engineering, 214, 29-39. DOI: 10.1016/j.jfoodeng.2017.06.031.
      • Vicent A, Blasco J (2017) When prevention fails. Towards more efficient strategies for plant disease eradication. New Phytologist, 214, 905-908. DOI: 10.1111/nph.14555.
      • Cortés V, Rodríguez A, Blasco J, Rey B, Besada C, Cubero S, Salvador A, Talens P, Aleixos N (2017). Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy. Journal of Food Engineering, 204, 27-37. DOI: 10.1016/j.jfoodeng.2017.02.017.
      • Hu W, Sun D-W, Blasco J (2017) Rapid monitoring 1-MCP-induced modulation of sugars accumulation in ripening ‘Hayward’ kiwifruit by Vis/NIR hyperspectral imaging. Postharvest Biology and Technology, 125, 168-180. DOI: 10.1016/j.postharvbio.2016.11.001.
      • Munera S, Besada C, Aleixos A, Talens P, Salvador A, Sun, D-W, Cubero S, Blasco J (2017) Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging. LWT – Food Science and Technology, 77, 241-248. DOI: 10.1016/j.lwt.2016.11.063.
      • Benalia S, Bernardi B, Blasco J, Fazari A, Zimbalatti G (2017) Assessment of the Ripening of Olives Using Computer Vision. Chemical Engineering Transactions, 58, 355-360. DOI: 10.3303/CET17580.
      • Munera S, Besada C, Blasco J, Cubero S, Salvador A, Talens P, Aleixos N (2017). Astringency assessment of persimmon by hyperspectral imaging. Postharvest Biology and Technology, 125, 35-41. DOI: 10.1016/j.postharvbio.2016.11.006.
      • Albert F, Aleixos N (2017) Improvements to the TCVD method to segment hand-drawn sketches. Patern Recognition, 63, 416-423. DOI: 10.1016/j.patcog.2016.10.024.

2016

 

      • Vitale R, Prats-Montalbán JM, Lopez-García F, Blasco J, Ferrer A (2016) Segmentation techniques in image analysis: a comparative study. Journal of Chemometrics, 30, 749-758. DOI: 10.1002/cem.2854.
      • Cubero S, Lee WS, Aleixos N, Albert F, Blasco J (2016) Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest – A review. Food and Bioprocess Technology, 9, 1623-1639. DOI: 10.1007/s11947-016-1767-1.
      • Tello J, Cubero S, Blasco J, Tardaguila J, Aleixos N, Ibáñez J (2016) Application of 2D and 3D image technologies to characterize morphological attributes of grapevine clusters. Journal of the Science of Food and Agriculture, 96, 4575-4583. DOI: 10.1002/jsfa.7675.
      • Escandell-Montero P, Lorente D, Martinez-Martinez JM, Soria-Olivas E, Vila-Frances J, Martin-Guerrero JD (2016) Online fitted policy iteration based on extreme learning machines, Knowledge-Based Systems, 100, 200-211. DOI:10.1016/j.knosys.2016.03.007.
      • Folch-Fortuny A, Prats-Montalbán JM, Cubero S, Blasco J, Ferrer A (2016) NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits. Chemometrics and Intelligent Laboratory Systems, 156, 241-248. DOI:10.1016/j.chemolab.2016.05.005.
      • Cortés V, Ortiz C, Aleixos N, Blasco J, Cubero S, Talens, P (2016) A new internal quality index for mango and its prediction by external visible and near-infrared reflection spectroscopy. Postharvest Biology and Technology, 118, 148-158. DOI: 10.1016/j.postharvbio.2016.04.011.
      • Benalia S, Cubero S, Prats-Montalbán JM, Bernardi B, Zimbalatti G, Blasco J (2016) Computer vision for automatic quality inspection of dried Figs (Ficus carica L.). Computers and Electronics in Agriculture, 120, 17-25. DOI: 10.1016/j.compag.2015.11.002.

2015

 

      • Lorente D, Escandell-Montero P, Cubero S, Gómez-Sanchis J, Blasco J (2015) Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit. Journal of Food Engineering, 163, 17-24. DOI: 10.1016/j.jfoodeng.2015.04.010.
      • Diago MP, Tardaguila J, Aleixos N, Millan B, Prats-Montalban JM, Cubero S, Blasco J (2015) Assessment of cluster yield components by image analysis. Journal of the Science of Food and Agriculture, 95, 1274-1282. DOI: 10.1002/jsfa.6819.
      • Lorente D, Zude M, Idler C, Gómez-Sanchis J, Blasco J (2015) Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model. Journal of Food Engineering, 154, 76-85. DOI: 10.1016/j.jfoodeng.2015.01.004.
      • Cubero S, Diago MP, Blasco J, Tardaguila J, Prats-Montalbán JM, Ibáñez J, Tello J, Aleixos N (2015) A new method for bunch compactness assessment using automated image analysis. Australian Journal of Grape and Wine Research, 21, 101-109. DOI: 10.1111/ajgw.12118.
      • Albert F, Gómis JM, Blasco J, Valiente JM, Aleixos N (2015) A new method to analyse mosaics based on Symmetry Group theory applied to Islamic Geometric Patterns. Computer Vision and Image Understanding, 130, 54-70. DOI: 10.1016/j.cviu.2014.09.002.
      • Benalia S, Bernardi B, Cubero S, Leuzzi A, Larizza M, Blasco J (2015) Preliminary trials on hyperspectral imaging implementation to detect mycotoxins in dried figs. Chemical Engineering Transactions, 44, 157-162. DOI: 10.3303/CET1544027.

2014

 

      • Edited: Aleixos N, Blasco J , Molto E (Eds) (2014) Biosystems Engineering. Special Issue on Image Analysis in Agriculture. Volume 117, Pages 1-114 (January 2014).
      • Diago MP, Sanz A, Millán B, Blasco J, Tardáguila J (2014) Assessment of flower number per inflorescence in grapevine by image analysis under field conditions. Journal of the Science of Food and Agriculture, 94, 1981-1987. DOI: 10.1002/jsfa.6512.
      • Vélez-Rivera N, Gómez-Sanchis J, Chanona-Pérez J , Carrasco JJ, Millán-Giraldo M, Lorente D, Cubero S, Blasco J (2014) Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning. Biosystems Engineering, 122C, 91-98. DOI: 10.1016/j.biosystemseng.2014.03.009.
      • Vélez-Rivera N, Blasco J, Chanona-Pérez JJ, Calderón-Domínguez G, Perea-Flores MJ, Arzate-Vázquez I, Cubero S, Farrera-Rebollo R (2014) Computer vision system applied to classification of ‘Manila’ mangoes during ripening process. Food and Bioprocess Technology, 7, 1183-1194. DOI: 10.1007/s11947-013-1142-4.
      • Gómez-Sanchis J, Lorente D, Soria-Olivas E, Aleixos N, Cubero S, Blasco (2014) Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay. Food and Bioprocess Technology, 7, 1047-1056. DOI: 10.1007/s11947-013-1158-9.
      • Torregrosa A, Albert F, Aleixos N, Ortiz C, Blasco J (2014) Analysis of the detachment of citrus fruits by vibration using artificial vision. Biosystems Engineering, 119, 1-12. DOI: 10.1016/j.biosystemseng.2013.12.010.
      • Cubero S, Aleixos N, Albert A, Torregrosa A, Ortiz C, García-Navarrete O, Blasco J (2014) Optimised computer vision system for automatic pre grading of citrus fruit in the field using a mobile platform. Precision Agriculture, 15(1), 80-94. DOI: 10.1007/s11119-013-9324-7.
      • Blasco J, Moltó E, Aleixos N, Zude M (2014) Editorial. Special Issue: Image Analysis in Agriculture. Biosystems Engineering, 117, editorial. DOI: 10.1016/j.biosystemseng.2013.09.007.
      • Cubero S, Diago MP, Blasco J, Tardáguila J, Millán B, Aleixos N (2014) A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis. Biosystems Engineering. Special Issue on Image Processing in Agriculture, 117, 62-72. DOI: 10.1016/j.biosystemseng.2013.06.007.

2013

 

      • Lorente D, Zude M, Regen C, Palou L, Gómez-Sanchis J, Blasco J (2013) Early decay detection in citrus fruit using laser-light backscattering imaging. Postharvest Biology and Technology, 86, 424-430. DOI: 10.1016/j.postharvbio.2013.07.021.
      • Mendoza-Madrigal AG, Chanona-Pérez JJ, Hernández-Sánchez H, Palacios-González E, Calderón-Domínguez G, Méndez-Méndez JV, Blasco J, Villa-Vargas L (2013) Mechanical biosensors in biological and food area: a review. Revista Mexicana de Ingeniería Química, 12(2), 205-225.
      • Vidal A, Talens P, Prats-Montalbán JM, Cubero S, Albert F, Blasco J (2013) In-line estimation of the standard colour index of citrus fruits using a computer vision system developed for a mobile platform. Food and Bioprocess Technology, 6(12), 3412-3419. DOI: 10.1007/s11947-012-1015-2.
      • Lorente D, Blasco J, Serrano AJ, Soria-Olivas E, Aleixos N, Gómez-Sanchis J (2013) Comparison of ROC feature selection method for the detection of decay in citrus fruit using hyperspectral images. Food and Bioprocess Technology, 6(12), 3613-3619. DOI: 10.1007/s11947-012-0951-1.
      • Gómez-Sanchis J, Blasco J, Soria-Olivas E, Lorente D, Escandell-Montero P, Martínez-Martínez JM, Martínez-Sober M, Aleixos N (2013) Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers. Postharvest Biology and Technology, 82, 76-86. DOI: 10.1016/j.postharvbio.2013.02.011.
      • Lorente D, Aleixos N, Gómez-Sanchis J, Cubero S, Blasco J (2013) Selection of optimal wavelength features for decay detection in citrus fruit using the ROC curve and neural networks. Food and Bioprocess Technology, 6(2), 530-541. DOI: 10.1007/s11947-011-0737-x.
      • Tardáguila J, Diago MP, Millán B, Blasco J, Cubero S, Aleixos N (2013) Applications of computer vision techniques in viticulture to assess canopy features, cluster morphology and berry size. Acta Hort. (ISHS), 978, 77-84
      • Albert F, Fernández-Pacheco DG, Aleixos N (2013) New method to find corner and tangent vertices in sketches using parametric cubic curves approximation. Pattern Recognition 46, 1433-1448. DOI: 10.1016/j.patcog.2012.11.006.

2012

 

      • ElMasry G, Cubero S, Moltó E, Blasco J (2012) In-line sorting of irregular potatoes by using automated computer-based machine vision system. Journal of Food Engineering, 112, 60-68. DOI: 10.1016/j.jfoodeng.2012.03.027.
      • Lorente D, Aleixos N, Gómez-Sanchis J, Cubero S, García-Navarrete OL, Blasco J (2012). Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment. Food and Bioprocess Technology 5(4), 1121-1142. DOI: 10.1007/s11947-011-0725-1.
      • Gómez-Sanchis J, Martín-Guerrero JD, Soria-Olivas E, Martínez-Sober M, Magdalena-Benedito R, Blasco J (2012) Detecting rottenness caused by Penicillium in citrus fruits using machine learning techniques. Expert Systems with Applications 39(1), 780-785. DOI:10.1016/j.eswa.2011.07.073.
      • Gutiérrez A, Blasco J, Chueca P, Garcerá C, Alegre S, López S, Cubero S, Moltó E. (2012). Harvesting and in-field sorting of citrus with a self-propelled machine. Acta Hort. (ISHS) 965, 149-152.
      • Prats-Montalbán JM, Jerez-Rozo JI, Romañach RJ, Ferrer A (2012) MIA and NIR Chemical Imaging for pharmaceutical product characterization, Chemometrics and Intelligent Laboratory Systems 117, 240-249. DOI: 10.1016/j.chemolab.2012.04.002

2011

 

        • Ortiz C, Blasco J, Balasch S, Torregrosa A (2011) Shock absorbing surfaces for collecting fruit during the mechanical harvesting of citrus. Biosystems Engineering 110(1), 2-9. DOI:10.1016/j.biosystemseng.2011.05.006.
        • Cubero S, Aleixos N, Moltó E, Gómez-Sanchis J, Blasco J (2011) Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables. Food and Bioprocess Technology 4(4), 487-504. DOI: 10.1007/s11947-010-0411-8.
        • Prats-Montalbán JM, Ferrer A, de Juan A (2011) Multivariate Image Analysis: a review with applications. Chemometrics and Intelligent Laboratory Systems, 107, 1-23. DOI: 10.1016/j.chemolab.2011.03.002

2010

 

        • López-García F, Andreu G, Blasco J, Aleixos N, Valiente JM (2010) Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach. Computers and Electronics in Agriculture 71, 189-197 DOI:10.1016/j.compag.2010.02.001.
        • Cubero S, Moltó E, Gutiérrez A, Aleixos N, García-Navarrete OL, Juste F, Blasco J (2010) Real-time inspection of fruit on a mobile harvesting platform in field conditions using computer vision. Progress in Agricultural Engineering Science 6, 1-16. DOI: 10.1556/Progress.6.2010.1

2009

 

        • Blasco J, Aleixos N, Gómez-Sanchis J, Moltó E (2009) Recognition and classification of external skin damages in citrus fruits using multispectral data and morphological features. Biosystems Engineering 103(2), 137-145 DOI:10.1016/j.biosystemseng.2009.03.009.
        • Blasco J, Aleixos N, Cubero S, Gómez-Sanchis J, Moltó E (2009) Automatic sorting of satsuma (Citrus unshiu) segments using morphological features. Computers and Electronics in Agriculture 66 (1), 1-8. DOI 10.1016/j.compag.2008.11.006.
        • Blasco J, Gómez-Sanchis J, Gutiérrez A, Chueca P, Argilés R, Moltó E (2009) Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory. Pest Management Science 65(1), 99-104. DOI: 10.1002/ps.1652.
        • Blasco J, Cubero S, Gómez-Sanchis J, Mira P, Moltó E (2009) Development of a machine for the automatic sorting of pomegranate (Punica granatum) arils based on computer vision. Journal of Food Engineering 90(1), 27-34. DOI 10.1016/j.jfoodeng.2008.05.035.

2008

        • Gómez-Sanchis J, Gómez-Chova L, Aleixos N, Camps-Valls G, Montesinos-Herrero C, Moltó E, Blasco J (2008) Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins. Journal of Food Engineering 89(1), 80-86. DOI: 10.1016/j.jfoodeng.2008.04.009.
        • Blasco J, Cubero S, Alegre-Sosa S, Gómez-Sanchis J, López-Rubira V, Moltó E (2008) Short communication. Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision. Spanish Journal of Agricultural Engineering 6(1), 12-16. DOI: 10.5424/sjar/2008061-301
        • López F, Valiente JM, Prats-Montalbán JM, Ferrer A (2008) Performance evaluation of soft colortexture descriptors for surface grading using experimental design and logistic regression. Pattern Recognition 41, 1744-1755. DOI: 10.1016/j.patcog.2007.09.011
        • Gómez J, Moltó E, Camps G, Gómez L, Aleixos N, Blasco J (2008) Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits. Journal of Food Engineering 85(2), 191-200. DOI: 10.1016/j.jfoodeng.2007.06.036.
        • Gómez-Sanchis J, Camps-Valls G, Moltó E, Gómez-Chova L, Aleixos N, Blasco J (2008) Segmentation of hyperspectral images for the detection of rotten mandarins. Lecture Notes in Computer Science 5112, 1071-1080. DOI: 10.1007/978-3-540-69812-8_107
        • Prats-Montalbán JM, López F, Valiente JM, Ferrer A (2008) Multivariate statistical projection methods to perform robust feature extraction and classification in surface grading. Journal of Electronic Imaging 17(3), 031106 1-10. DOI: 10.1117/1.2957886

2007

 

        • Blasco J, Aleixos N, Gómez J, Moltó E (2007) Citrus sorting by identification of the most common defects using multispectral computer vision. Journal of Food Engineering 83(3), 384-393. DOI: 10.1016/j.jfoodeng.2007.03.027.
        • Prats-Montalbán JM, Ferrer A (2007) Integration of colour and textural information in multivariate image analysis: defect detection and classification issues. Journal of Chemometrics, 21, 10-23. DOI: 10.1002/cem.1026
        • Gómez J, Blasco J, Moltó E, Camps-Valls G (2007) Hyperspectral detection of citrus damage with a Mahalanobis kernel classifier. Electronics Letters 43(20), 1082-1084. DOI: 10.1049/el:20070906.
        • Blasco J, Aleixos N, Moltó E (2007) Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm. Journal of Food Engineering 81(3), 535-543. DOI: 10.1016/j.jfoodeng.2006.12.007
        • Blasco J, Cubero S, Arias R, Gómez J, Juste F, Moltó E (2007) Development of a computer vision system for the automatic quality grading of mandarin segments. Lecture Notes in Computer Science, 4478, 460-466. DOI: 10.1007/978-3-540-72849-8_58

2006

 

        • ElMasry G. Moltó E, Blasco J, ElSayed A (2006) Influence of Hot Water Treatment on Some Chemical and Mechanical Properties of Potato. Agricultural Engineering International (VIII). CIGR. Art. 66
        • López F, Prats, JM, Ferrer A, Valiente JM (2006) Defect Detection in Random Colour Textures using the MIA T2 Defect Maps. Lecture Notes in Computer Science 4142, 752-763. DOI: 10.1007/11867661_68

2004

 

        • Díaz R, Gil L, Serrano G, Blasco M, Moltó E, Blasco J (2004) Comparison of three algorithms in the classification of table olives by means of Computer Vision. Journal of Food Engineering 61, 101-107. DOI: 10.1016/S0260-8774(03)00191-2.

2003

 

          • Blasco J, Aleixos N, Moltó E (2003) Machine Vision System for Automatic Quality Grading of Fruit. Biosystems Engineering 85(4), 415-423. DOI: 10.1016/S1537-5110(03)00088-6.

2002

 

            • Blasco J, Aleixos N, Roger JM, Rabatel G, Moltó E (2002) Robotic weed control using machine vision. Biosystems Engineering 83(2), 149-157. DOI: 10.1016/S1537-5110(02)00155-1
            • Aleixos N, Blasco J, Navarrón F, Moltó E (2002) Multispectral inspection of citrus in real-time using machine vision and digital signal processors. Computers and Electronics in Agriculture 33(2), 121-137. DOI: 10.1016/S0168-1699(02)00002-9

2000

 

            • Díaz R, Faus G, Blasco M, Blasco J, Moltó E (2000) The application of a fast algorithm for the classification of olives by machine vision. Food Research International 33, 305-309. DOI: 10.1016/S0963-9969(00)00041-7

1999

 

            • Steinmetz V, Roger JM, Moltó E, Blasco J (1999) On-line Fusion color camera and spectrophotometer for sugar content prediction of apples. Journal of Agricultural Engineering Research 73, 207-216. DOI:10.1006/jaer.1999.0407.

1998

 

            • Moltó E, Ruiz LA, Aleixos N, Vazquez J (1998) Machine vision for non destructive evaluation of fruit quality. Acta Horticulturae, 421, 85-90.
            • Moltó E, Aleixos N, Vázquez J, Juste F (1998) Determination of Weeds and Artichoke Plants Position in Colour Images for Local Herbicide Action. Acta Horticulturae, 421, 279-284.

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