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000817744 1001_ $$0P:(DE-Juel1)129394$$aScharr, Hanno$$b0$$eCorresponding author$$ufzj
000817744 245__ $$aSpecial issue on computer vision and image analysis in plant phenotyping
000817744 260__ $$aBerlin$$bSpringer$$c2016
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000817744 520__ $$aPlant phenotyping is the identification of effects on the phenotype (i.e., the plant appearance and behavior) as a result of genotype differences (i.e., differences in the genetic code) and the environment. Previously, the process of taking phenotypic measurements has been laborious, costly, and time-consuming. In recent years, noninvasive, imaging-based methods have become more common. These images are recorded by a range of capture devices from small embedded camera systems to multi-million Euro smart greenhouses, at scales ranging from microscopic images of cells, to entire fields captured by UAV imaging.
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000817744 7001_ $$0P:(DE-HGF)0$$aFrench, Andrew P.$$b2
000817744 7001_ $$0P:(DE-HGF)0$$aTsaftaris, Sotirios A.$$b3$$eCorresponding author
000817744 773__ $$0PERI:(DE-600)1481698-2$$a10.1007/s00138-016-0787-1$$gVol. 27, no. 5, p. 607 - 609$$n5$$p607 - 609$$tMachine vision and applications$$v27$$x1432-1769$$y2016
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