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000020846 0247_ $$2DOI$$a10.1016/j.copbio.2011.12.010
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000020846 084__ $$2WoS$$aBiochemical Research Methods
000020846 084__ $$2WoS$$aBiotechnology & Applied Microbiology
000020846 1001_ $$0P:(DE-Juel1)143649$$aFiorani, F.$$b0$$uFZJ
000020846 245__ $$aImaging plants dynamics in heterogenic environments
000020846 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2012
000020846 300__ $$a227 - 235
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000020846 520__ $$aNoninvasive imaging sensors and computer vision approaches are key technologies to quantify plant structure, physiological status, and performance. Today, imaging sensors exploit a wide range of the electromagnetic spectrum, and they can be deployed to measure a growing number of traits, also in heterogenic environments. Recent advances include the possibility to acquire high-resolution spectra by imaging spectroscopy and classify signatures that might be informative of plant development, nutrition, health, and disease. Three-dimensional (3D) reconstruction of surfaces and volume is of particular interest, enabling functional and mechanistic analyses. While taking pictures is relatively easy, quantitative interpretation often remains challenging and requires integrating knowledge of sensor physics, image analysis, and complex traits characterizing plant phenotypes.
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000020846 650_2 $$2MeSH$$aBotany: methods
000020846 650_2 $$2MeSH$$aImage Processing, Computer-Assisted
000020846 650_2 $$2MeSH$$aImaging, Three-Dimensional: methods
000020846 650_2 $$2MeSH$$aPlants: anatomy & histology
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000020846 7001_ $$0P:(DE-Juel1)129388$$aRascher, U.$$b1$$uFZJ
000020846 7001_ $$0P:(DE-Juel1)129336$$aJahnke, S.$$b2$$uFZJ
000020846 7001_ $$0P:(DE-Juel1)129402$$aSchurr, U.$$b3$$uFZJ
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000020846 8567_ $$uhttp://dx.doi.org/10.1016/j.copbio.2011.12.010
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