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Dynamic segmentation to estimate vine vigor from ground images

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Dynamic segmentation to estimate vine vigor from ground images

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Sáiz Rubio, V.; Rovira Más, F. (2012). Dynamic segmentation to estimate vine vigor from ground images. Spanish Journal of Agricultural Research. 10(3):596-604. https://doi.org/10.5424/sjar/2012103-508-11

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Título: Dynamic segmentation to estimate vine vigor from ground images
Otro titulo: Segmentación automática de imágenes digitales para estimar el vigor en viñas
Autor: Sáiz Rubio, Verónica Rovira Más, Francisco
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària
Fecha difusión:
Resumen:
[EN] The geographic information required to implement precision viticulture applications in real fields has led to the extensive use of remote sensing and airborne imagery. While advantageous because they cover large areas ...[+]


[ES] La información requerida para implementar aplicaciones de viticultura de precisión en parcelas reales ha desembocado en el uso extensivo de la teledetección y la detección aérea. Si bien estos métodos son ventajosos ...[+]
Palabras clave: Dynamic threshold , GPS , NIR , Precision viticulture , UV , Vigor map , Mapas de vigor , Umbralizado dinámico , Viticultura de precisión
Derechos de uso: Reconocimiento (by)
Fuente:
Spanish Journal of Agricultural Research. (issn: 1695-971X )
DOI: 10.5424/sjar/2012103-508-11
Editorial:
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Versión del editor: http://dx.doi.org/10.5424/sjar/2012103-508-11
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//AGL2009-11731/ES/Percepcion Tridimensional Para Robotica Agricola/
Agradecimientos:
The authors would like to express their gratitude to Luis Gil-Orozco Esteve, manager of the winery Bodegas Finca Ardal, as well as the Ministerio de Ciencia e Innovacion for funding this research with Project AGL2009-11731. ...[+]
Tipo: Artículo

References

Chaerle, L., & Van Der Straeten, D. (2000). Imaging techniques and the early detection of plant stress. Trends in Plant Science, 5(11), 495-501. doi:10.1016/s1360-1385(00)01781-7

Drissi, R., Goutouly, J.-P., Forget, D., & Gaudillere, J.-P. (2009). Nondestructive Measurement of Grapevine Leaf Area by Ground Normalized Difference Vegetation Index. Agronomy Journal, 101(1), 226. doi:10.2134/agronj2007.0167

Gausman, H. W. (1977). Reflectance of leaf components. Remote Sensing of Environment, 6(1), 1-9. doi:10.1016/0034-4257(77)90015-3 [+]
Chaerle, L., & Van Der Straeten, D. (2000). Imaging techniques and the early detection of plant stress. Trends in Plant Science, 5(11), 495-501. doi:10.1016/s1360-1385(00)01781-7

Drissi, R., Goutouly, J.-P., Forget, D., & Gaudillere, J.-P. (2009). Nondestructive Measurement of Grapevine Leaf Area by Ground Normalized Difference Vegetation Index. Agronomy Journal, 101(1), 226. doi:10.2134/agronj2007.0167

Gausman, H. W. (1977). Reflectance of leaf components. Remote Sensing of Environment, 6(1), 1-9. doi:10.1016/0034-4257(77)90015-3

Hahn, F. (2009). Actual Pathogen Detection: Sensors and Algorithms - a Review. Algorithms, 2(1), 301-338. doi:10.3390/a2010301

HALL, A., LAMB, D. W., HOLZAPFEL, B., & LOUIS, J. (2002). Optical remote sensing applications in viticulture - a review. Australian Journal of Grape and Wine Research, 8(1), 36-47. doi:10.1111/j.1755-0238.2002.tb00209.x

Johnson, L. ., Roczen, D. ., Youkhana, S. ., Nemani, R. ., & Bosch, D. . (2003). Mapping vineyard leaf area with multispectral satellite imagery. Computers and Electronics in Agriculture, 38(1), 33-44. doi:10.1016/s0168-1699(02)00106-0

Kim, Y., & Reid, J. F. (2007). Bidirectional effect on a spectral image sensor for in‐field crop reflectance assessment. International Journal of Remote Sensing, 28(21), 4913-4926. doi:10.1080/01431160701253261

LAMB, D. W., WEEDON, M. M., & BRAMLEY, R. G. V. (2008). Using remote sensing to predict grape phenolics and colour at harvest in a Cabernet Sauvignon vineyard: Timing observations against vine phenology and optimising image resolution. Australian Journal of Grape and Wine Research, 10(1), 46-54. doi:10.1111/j.1755-0238.2004.tb00007.x

S. D. Noble, & T. G. Crowe. (2005). ANALYSIS OF CROP AND WEED LEAF DIFFUSE REFLECTANCE SPECTRA. Transactions of the ASAE, 48(6), 2379-2387. doi:10.13031/2013.20077

H. Noh, Q. Zhang, S. Han, B. Shin, & D. Reum. (2005). DYNAMIC CALIBRATION AND IMAGE SEGMENTATION METHODS FOR MULTISPECTRAL IMAGING CROP NITROGEN DEFICIENCY SENSORS. Transactions of the ASAE, 48(1), 393-401. doi:10.13031/2013.17933

Nuske, S., Achar, S., Bates, T., Narasimhan, S., & Singh, S. (2011). Yield estimation in vineyards by visual grape detection. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. doi:10.1109/iros.2011.6095069

Otsu, N. (1979). A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), 62-66. doi:10.1109/tsmc.1979.4310076

Peñuelas, J., Gamon, J. A., Fredeen, A. L., Merino, J., & Field, C. B. (1994). Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves. Remote Sensing of Environment, 48(2), 135-146. doi:10.1016/0034-4257(94)90136-8

N. Ramalingam, P. P. Ling, & R. C. Derksen. (2003). DYNAMIC SEGMENTATION FOR AUTOMATIC SPRAY DEPOSITS ANALYSIS ON UNEVEN LEAF SURFACES. Transactions of the ASAE, 46(3). doi:10.13031/2013.13585

Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127-150. doi:10.1016/0034-4257(79)90013-0

Verhoeven, G. J., & Schmitt, K. D. (2010). An attempt to push back frontiers – digital near-ultraviolet aerial archaeology. Journal of Archaeological Science, 37(4), 833-845. doi:10.1016/j.jas.2009.11.013

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