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Automated extraction of tree and plot-based parameters in citrus orchards from aerial images

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Automated extraction of tree and plot-based parameters in citrus orchards from aerial images

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dc.contributor.author Recio Recio, Jorge Abel es_ES
dc.contributor.author Hermosilla, T. es_ES
dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.contributor.author Palomar-Vázquez, Jesús es_ES
dc.date.accessioned 2015-12-03T16:34:41Z
dc.date.available 2015-12-03T16:34:41Z
dc.date.issued 2013-01-01
dc.identifier.issn 0168-1699
dc.identifier.uri http://hdl.handle.net/10251/58506
dc.description.abstract A plot-based approach is proposed to detect fruit trees from high spatial resolution aerial images and extract tree and plot-based parameters, such as fraction of tree cover, number of trees, and planting patterns. Each plot image, defined by the boundaries or polygons obtained from a cadastral database, is analyzed independently. The methodology is based on image processing methods: an unsupervised classification with the k-means algorithm is applied, followed by the automatic identification of the classes representing trees. Once extracted, each tree is individualized using a morphological process applied on the binary image of the trees. A set of parameters is calculated at tree and plot levels that produces a comprehensive description of the spectral and morphological aspects of the trees, as well as their spatial distribution in each plot. The methodology was tested on 0.5 m/pixel spatial resolution aerial images of 300 citrus orchard plots which included the three citrus tree typologies found in the Valencia region (Spain). The accuracy of the fruit tree extraction and the parameters calculated was evaluated by comparison with reference data obtained by manual delineation of the images. The automatically extracted fraction of tree cover was significantly related to the reference tree cover area (R2 = 0.96). In the case of the number of detected trees, the R2 values were always higher than 0.90 for the three typologies. Tree location was estimated with an average positional error of 40 cm. The error obtained in the characterization of the planting pattern was less than 50 cm. The proposed methodology may be applied to large agricultural databases, and the derived information combined with precision agricultural techniques could improve the efficiency of various irrigation and agricultural management tasks such as handling per-plot water requirements and distribution. es_ES
dc.description.sponsorship The authors appreciate the financial support provided by the Spanish Ministry of Science and Innovation within the framework of the Projects CGL2009-14220 and CGL2010-19591/BTE, by the Universitat Politecnica de Valencia within the program PAID-06-11, the support of the Spanish Instituto Geografico Nacional (IGN), and the collaboration of the IMIDA and the IVIA through the Telerieg Project (SOE1/P2/E082). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Spanish Ministry of Science and Innovation within the framework of the Projects CGL2009-14220 and CGL2010-19591/BTE es_ES
dc.relation Universitat Politècnica de València within the program PAID-06- 11 es_ES
dc.relation IMIDA and the IVIA Telerieg Project (SOE1/P2/E082) es_ES
dc.relation Spanish Instituto Geográfico Nacional (IGN) es_ES
dc.relation.ispartof Computers and Electronics in Agriculture es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Tree extraction es_ES
dc.subject Plot-based es_ES
dc.subject Image analysis es_ES
dc.subject Remote sensing es_ES
dc.subject Agricultural database es_ES
dc.subject Hough transform es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Automated extraction of tree and plot-based parameters in citrus orchards from aerial images es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compag.2012.10.005
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Recio Recio, JA.; Hermosilla, T.; Ruiz Fernández, LÁ.; Palomar-Vázquez, J. (2013). Automated extraction of tree and plot-based parameters in citrus orchards from aerial images. Computers and Electronics in Agriculture. 90:24-34. doi:10.1016/j.compag.2012.10.005 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.compag.2012.10.005 es_ES
dc.description.upvformatpinicio 24 es_ES
dc.description.upvformatpfin 34 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 90 es_ES
dc.relation.senia 230606 es_ES


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