Pixels, Bits, and GUIs: The Fundamentals of Digital Imagery and Their Application by Plant Pathologists
2004; American Phytopathological Society; Volume: 88; Issue: 3 Linguagem: Inglês
10.1094/pdis.2004.88.3.228
ISSN1943-7692
Autores Tópico(s)Plant Pathogens and Resistance
ResumoHomePlant DiseaseVol. 88, No. 3Pixels, Bits, and GUIs: The Fundamentals of Digital Imagery and Their Application by Plant Pathologists PreviousNext OPENOpen Access licensePixels, Bits, and GUIs: The Fundamentals of Digital Imagery and Their Application by Plant PathologistsMark D. RickerMark D. RickerSearch for more papers by this authorAffiliationsAuthors and Affiliations Mark D. Ricker , Sunseeds, Acampo, CA Published Online:23 Feb 2007https://doi.org/10.1094/PDIS.2004.88.3.228AboutSectionsPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmailWechat DetailsFiguresLiterature CitedRelated Vol. 88, No. 3 March 2004SubscribeISSN:0191-2917e-ISSN:1943-7692 Metrics Article History Issue Date: 25 Jan 2008Published: 23 Feb 2007 Pages: 228-241 Information© 2004 The American Phytopathological SocietyPDF downloadCited byVisual Estimation: A Classical Approach for Plant Disease Estimation27 October 2022A novel algorithm for semi-automatic segmentation of plant leaf disease symptoms using digital image processing17 June 2016 | Tropical Plant Pathology, Vol. 41, No. 4Usage patterns of blue flower color representation by Encyclopedia of Life content providers11 August 2014 | Biodiversity Data Journal, Vol. 2Design and implementation of connoisseur annotated metadata based image retrieval system -a case studyPlant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral ImagingCritical Reviews in Plant Sciences, Vol. 29, No. 2Quantifying genetic effects of ground cover on soil water evaporation using digital imagingFunctional Plant Biology, Vol. 37, No. 8SUGAR-EX: An information and communication technology based decision making tool13 May 2009 | Sugar Tech, Vol. 11, No. 1Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environmentsAnnals of Applied Biology, Vol. 150, No. 2
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