Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/980994
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dc.contributor.authorOLIVEIRA, R. P. dept_BR
dc.contributor.authorWHELAN, B.pt_BR
dc.contributor.authorMCBRATNEY, A.pt_BR
dc.date.accessioned2014-02-24T11:11:11Zpt_BR
dc.date.available2014-02-24T11:11:11Zpt_BR
dc.date.created2014-02-24pt_BR
dc.date.issued2013pt_BR
dc.identifier.citationIn: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 17., 2013, Istanbul. Proceedings book... Istanbul: University Sabanci, 2013.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/980994pt_BR
dc.descriptionMulti-source and -temporal data integration is expected to support the delineation of within-field management zones that may better conform to unique combinations of crop yield variations. This work addresses the evaluation of zone delineation approaches based on image classification and segmentation methods. An object based segmentation is introduced using ancillary data from multivariate analysis of yield maps. A simple economic evaluation is conducted to compare delineation methods aiming variable-rate Nitrogen applications. Advantages and penalties are suggested for 2, 3, and 4 management zones. Results show that a procedure combining multiresolution, watershed and region grow segmentation algorithms has systematically resulted in greater net worth. It is suggested that segmentation methods have potential application for zone management delineations supporting contiguous patternpt_BR
dc.language.isoengpt_BR
dc.rightsopenAccesseng
dc.subjectCrop Management Zonespt_BR
dc.subjectYield Variationpt_BR
dc.subjectObject Based Segmentationpt_BR
dc.titleA segmentation approach to delineate zones for differential nitrogen intervention.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2014-02-24T11:11:11Zpt_BR
riaa.ainfo.id980994pt_BR
riaa.ainfo.lastupdate2014-02-24pt_BR
dc.contributor.institutionRONALDO PEREIRA DE OLIVEIRA, CNPSpt_BR
dc.contributor.institutionB. WHELAN, Precison Agriculture Laboratoryeng
dc.contributor.institutionA. MCBRATNEY, Precison Agriculture Laboratory.eng
Appears in Collections:Artigo em anais de congresso (CNPS)

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