Scientific Articles

In press


  • 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.
  • 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.


  • 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.


  • 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.


  • 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.


  • 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.


  • 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


    • 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


    • 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. Nº orden en su área de interés: 7/45. IF: 1,312.
    • 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.


    • 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


    • 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


    • 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


    • 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


        • 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


        • 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.


        • 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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