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| 001 | 836060 | ||
| 005 | 20210129230855.0 | ||
| 024 | 7 | _ | |a 10.1016/j.tplants.2017.05.002 |2 doi |
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| 037 | _ | _ | |a FZJ-2017-05184 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Lobet, Guillaume |0 P:(DE-Juel1)171180 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Image Analysis in Plant Sciences: Publish Then Perish |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2017 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Image analysis has become a powerful technique for most plant scientists. In recent years dozens of image analysis tools have been published in plant science journals. These tools cover the full spectrum of plant scales, from single cells to organs and canopies. However, the field of plant image analysis remains in its infancy. It still has to overcome important challenges, such as the lack of robust validation practices or the absence of long-term support. In this Opinion article, I: (i) present the current state of the field, based on data from the plant-image-analysis.org database; (ii) identify the challenges faced by its community; and (iii) propose workable ways of improvement. |
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| 773 | _ | _ | |a 10.1016/j.tplants.2017.05.002 |g Vol. 22, no. 7, p. 559 - 566 |0 PERI:(DE-600)2011003-0 |n 7 |p 559 - 566 |t Trends in plant science |v 22 |y 2017 |x 1360-1385 |
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