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| 001 | 817744 | ||
| 005 | 20210129224019.0 | ||
| 024 | 7 | _ | |a 10.1007/s00138-016-0787-1 |2 doi |
| 024 | 7 | _ | |a 0932-8092 |2 ISSN |
| 024 | 7 | _ | |a 1432-1769 |2 ISSN |
| 024 | 7 | _ | |a WOS:000379708400001 |2 WOS |
| 037 | _ | _ | |a FZJ-2016-04387 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Scharr, Hanno |0 P:(DE-Juel1)129394 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Special issue on computer vision and image analysis in plant phenotyping |
| 260 | _ | _ | |a Berlin |c 2016 |b Springer |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1472201765_1025 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a Editorial of the special issue |
| 520 | _ | _ | |a Plant 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. |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Dee, Hannah |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a French, Andrew P. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Tsaftaris, Sotirios A. |0 P:(DE-HGF)0 |b 3 |e Corresponding author |
| 773 | _ | _ | |a 10.1007/s00138-016-0787-1 |g Vol. 27, no. 5, p. 607 - 609 |0 PERI:(DE-600)1481698-2 |n 5 |p 607 - 609 |t Machine vision and applications |v 27 |y 2016 |x 1432-1769 |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |2 G:(DE-HGF)POF3-500 |v Plant Science |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2016 |
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