A new methodology for estimating the grapevine-berry number per cluster using image analysis

Autor: Aquino Martín, ArturoDiago Santamaría, María PazMillán Prior, BorjaTardáguila Laso, Javier

Tipo de documento: Artículo de revista

Revista: Biosystems Engineering. ISSN: 1537-5110. Año: 2017. Volumen: 156. Páginas: 80-95.

SCIMAGO (datos correspondientes al año 2014):
,821  SNIP: 1,65 



  • Anderson, M.M., Smith, R.J., Williams, M.A., Wolpert, J.A., Viticultural evaluation of French and California Pinot noir clones grown for production of sparkling wine (2008) American Journal of Enology and Viticulture, 59, pp. 188-193
  • Aquino, A., Millan, B., Gastón, D., Diago, M.P., Tardáguila, J., vitisFlower®: development and testing of a novel android-smartphone application for assessing the number of grapevine flowers per inflorescence using artificial vision techniques (2015) Sensors-Basel, 15, pp. 21204-21218
  • Aquino, A., Millan, B., Gutiérrez, S., Tardáguila, J., Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis (2015) Computers and Electronics in Agriculture, 119, pp. 92-104
  • Araus, J.L., Cairns, J.E., Field high-throughput phenotyping: The new crop breeding frontier (2014) Trends in Plant Science, 19 (1), pp. 52-61
  • Baggiolini, M., Stades repères de l'abricotier (1952) Revue Romande d'Agriculture, de Viticulture et d'Arboriculture, 8, pp. 28-29
  • Berenstein, R., Shahar, O.B., Shapiro, A., Edan, Y., Grape clusters and foliage detection algorithms for autonomous selective vineyard sprayer (2010) Intelligent Service Robotics, 3 (4), pp. 233-243
  • Chamelat, R., Rosso, E., Choksuriwong, A., Rosenberger, C., Laurent, H., Bro, P., Grape detection by image processing (2006) IECON, proceedings of the 32nd annual conference on IEEE industrial electronics, pp. 3697-3702
  • Connolly, C., Fleiss, T., A study of efficiency and accuracy in the transformation from RGB to CIELAB color space (1997) IEEE Transactions on Image Processing, 6, pp. 1046-1048
  • Cubero, S., Diago, M.P., Blasco, J., Tardaguila, J., Prats-Montalbán, J.M., Ibáñez, J., A new method for assessment of bunch compactness using automated image analysis (2015) Australian Journal of Grape and Wine Research, 21, pp. 101-109
  • Diago, M.P., Correa, C., Millán, B., Barreiro, P., Valero, C., Tardaguila, J., Grapevine yield and leaf area estimation using supervised classification methodology on RGB images taken under field conditions (2012) Sensors-Basel, 12, pp. 16988-17006
  • Diago, M.P., Krasnow, M., Bubola, M., Millan, B., Tardaguila, J., Assessment of vineyard canopy porosity using machine vision (2016) American Journal of Enology and Viticulture
  • Diago, M.P., Sanz-Garcia, A., Millan, B., Blasco, J., Tardaguila, J., Assessment of flower number per inflorescence in grapevine by image analysis under field conditions (2014) Journal of the Science of Food and Agriculture, 94, pp. 1981-1987
  • Diago, M.P., Tardaguila, J., Aleixos, N., Millan, B., Prats-Montalbán, J.M., Cubero, S., Assessment of cluster yield components by image analysis (2015) Journal of the Science of Food and Agriculture, 95, pp. 1274-1282
  • Dusntone, R.J., Final report for project DNR 02/02 (2002), p. 39. , Winegrape crop forecasting module Adelaida (Australia): CWRDCFernández, R., Montes, H., Salinas, C., Sarria, J., Armada, M., Combination of RGB and multispectral imagery for discrimination of cabernet sauvignon grapevine elements (2013) Sensors-Basel, 13, pp. 7838-7859
  • Font, D., Tresanchez, M., Martínez, D., Moreno, J., Clotet, E., Palacín, J., Vineyard yield estimation based on the analysis of high resolution images obtained with artificial illumination at night (2015) Sensors-Basel, 15, pp. 8284-8301
  • Gongal, A., Amatya, S., Markee, M., Zhang, Q., Lewis, K., Sensors and systems for fruit detection and localization: A review (2015) Computers and Electronics in Agriculture, 116, pp. 8-19
  • Herzog, K., Roscher, R., Wieland, M., Kicherer, A., Läbe, T., Förstner, W., Initial steps for high-throughput phenotyping in vineyards (2014) Vitis, 53, pp. 1-8
  • Houle, D., Govindaraju, D.R., Omholt, S., Phenomic: The next challenge (2010) Nature Reviews Genetics, 11, pp. 855-866
  • Kicherer, A., Roscher, R., Herzog, K., Förstner, W., Töpfer, R., Image based evaluation for the detection of cluster parameters in grapevine (2015) Acta Horticulturae, 1082, pp. 335-340
  • Klodt, M., Herzog, K., Töpfer, R., Cremers, D., Field phenotyping of grapevine growth using dense stereo reconstruction (2015) BMC Bioinformatics, 16, p. 143
  • Liu, S., Marden, S., Whitty, M., Towards automated yield estimation in viticulture (2013) Proceedings of the Australasian conference on robotics and automation
  • Liu, S., Whitty, M., Cossel, S., A lightweight method for grape berry counting based on automated 3D bunch reconstruction from a single image (2015) Proceedings of the workshop on robotics in agriculture
  • Li, L., Zhang, Q., Huang, D., A review of imaging techniques for plant phenotyping (2014) Sensors-Basel, 14, pp. 20078-20111
  • May, P., Development after fertilization (2004) Flowering and fruitset in grapevines, , P. May Lythrum Press Adelaide (Australia)
  • Millan, B., Aquino, A., Diago, M.P., Tardaguila, J., Image analysis based modelling for flower number estimation in grapevine (2016) Journal of the Science of Food and Agriculture
  • Minervini, M., Scharr, H., Tsaftaris, S., Image analysis: The new bottleneck in plant phenotyping [Applications corner] (2015) IEEE Signal Processing Magazine, 32, pp. 126-131
  • Nobuyuki, O., A threshold selection method from gray-level histograms (1979) IEEE Transactions on Systems, Man and Cybernetics, 9, pp. 62-66
  • Nuske, S., Wilshusen, K., Achar, S., Yoder, L., Narasimhan, S., Singh, S., Automated visual yield estimation in vineyards (2014) Journal of Field Robotics, 31, pp. 837-860
  • Payne, A., Walsh, K., Machine vision in estimation of crop yield (2014) Plant image analysis: Fundamentals and applications, pp. 329-374. , S. Dutta-Gupta T. Ibaraki CRC Press Boca Ratón
  • Pothen, Z., Nuske, S., Texture-based fruit detection via images using the smooth patterns on the fruit (2016) Proceedings of the IEEE international conference on robotics and automation
  • Rabatel, G., Guizard, C., Grape berry calibration by computer vision using elliptical model fitting (2007) Proceedings of the 6th European conference on precision agriculture
  • Rahman, A., Hellicar, A., Identification of mature grape bunches using image processing and computational intelligence methods (2014) Proceeding os the IEEE symposium on computational intelligence for multimedia, signal and vision processing (CIMSIVP), pp. 1-6
  • Reis, M.C., Morais, R., Pereira, C., Soares, S., Valente, A., Baptista, J., Automatic detection of white grapes in natural environment using image processing (2011) Proceedings of the international conference on soft computing models in industrial and environmental applications, pp. 19-26
  • Reis, M.J.C.S., Morais, R., Peres, E., Pereira, C., Contente, O., Soares, S., Automatic detection of bunches of grapes in natural environment from color images (2012) Journal of Applied Logic, 10 (4), pp. 285-290
  • Rey-Caramés, C., Diago, M.P., Martín, M.P., Lobo, A., Tardaguila, J., Using RPAS multi-spectral imagery to characterise vigour, leaf development, yield components and berry composition variability within a vineyard (2015) Remote Sensing, 7, pp. 14458-14481
  • Schanda, J., Colorimetry: Understanding the CIE system (2007), John Wiley &
  • Sons pub New Jersey (USA)Soille, P., Morphological image analysis. Principles and applications (2004), 2nd ed. Springer – Verlag Berlin (Germany)Spalding, E.P., Miller, N.D., Image analysis is driving a renaissance in growth measurement (2013) Current Opinion in Plant Biology, 16, pp. 100-104
  • Tardáguila, J., Blanco, J.A., Poni, S., Diago, M.P., Mechanical yield regulation in winegrapes: Comparison of early defoliation and crop thinning (2012) Australian Journal of Grape and Wine Research, 18, pp. 344-352
  • Tukey, J., Comparing individual means in the analysis of variance (1949) Biometrics, 5, pp. 99-114
  • Walley, J., Shanmuganathan, S., Applications of image processing in viticulture: A review (2013) Proceedings of the 20th international congress on modelling and simulation
  • Walter, A., Liebisch, F., Hund, A., Plant phenotyping: From bean weighing to image analysis (2015) Plant Methods, pp. 11-14