Detection and mapping of Ridolfia segetum Moris patches in sunflower (Helianthus annuus L.) crop using remote sensing techniques

J. M. PeÃ±a-BarragÃ¡n; F. LÃ³pez-Granados; M. Jurado-ExpÃ³sito; L. GarcÃ­a-Torres

Detection and mapping of Ridolfia segetum Moris patches in sunflower (Helianthus annuus L.) crop using remote sensing techniques

in Precision Agriculture â05

Autor:innen:

J. M. PeÃ±a-BarragÃ¡n

J. M. PeÃ±a-BarragÃ¡n Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, CÃ³rdoba, Spain flgranados@ias.csic.es

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F. LÃ³pez-Granados

F. LÃ³pez-Granados Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, CÃ³rdoba, Spain flgranados@ias.csic.es

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M. Jurado-ExpÃ³sito

M. Jurado-ExpÃ³sito Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, CÃ³rdoba, Spain flgranados@ias.csic.es

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L. GarcÃa-Torres

L. GarcÃa-Torres Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, CÃ³rdoba, Spain flgranados@ias.csic.es

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Art:: Kapitel

Seiten:: 107â114

DOI:: https://doi.org/10.3920/978-90-8686-549-9_013

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Ridolfia segetum Moris is an umbelliferous weed, which is very frequent and persistent in most sunflower crops in Spain. The hyperspectral signatures of bare soil and sunflower and Ridolfia segetum at different phenological stages (from emergency to senescence) were collected at three dates (mid-May, mid-June and mid-July 2003) using a handheld field spectroradiometer and, lately, were analysed to select the wavelength, bands and vegetation indices for hyperspectral and multispectral discrimination within and between phenological stages of sunflower and R. segetum. Simultaneously to the field measurements, conventional-color and color-infrared aerial photographs of two fields located in Cordoba province were captured, and remote sensing techniques were applied to map Ridolfia segetum patches in sunflower. Two methods of classification (Spectral Angle Mapper and Class Separation) were checked and the confusion matrix was used to determine the accuracy of the weed maps. In the multispectral study, the highest different was obtained in mid-June. In mid-July, the ANVI index [(NIR-B)/(NIR+B)] showed statistical differences between bare soil, R. segetum and all corresponding sunflower phenological stages, but these results were not completely similar in the aerial photograph analysis. The Spectral Angle Mapper classification of the mid-June photographs permitted the discrimination of R. segetum patches in sunflower with the highest accuracy (over 90 %).

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Precision Agriculture â05

ISBN:: 9789086865499

Verleger:: Wageningen Academic

Print-Publikationsdatum:: 24 Oct 2005

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Detection and mapping of Ridolfia segetum Moris patches in sunflower (Helianthus annuus L.) crop using remote sensing techniques

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Precision Agriculture â05

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Precision Agriculture â05