The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Plant Phenomics, From Sensors to Knowledge
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ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Field high-throughput phenotyping: the new crop breeding frontier
Araus, J. L., & Cairns, J. E. (2014) · Trends in Plant Science · doi:10.1016/j.tplants.2013.09.008 · Cited by 1,817
A novel sensor to map auxin response and distribution at high spatio-temporal resolution
Brunoud, G., Wells, D. M., Oliva, M., Larrieu, A., Mirabet, V., Burrow, A. H., Beeckman, T., Kepinski, S., Traas, J., Bennett, M. J., et al. (2012) · Nature · doi:10.1038/nature10791 · Cited by 741
Self-citationMalosetti, M., Ribaut, J.-M., & van Eeuwijk, F. A. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00044 · Cited by 539
Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation
Technow, F., Messina, C. D., Totir, L. R., & Cooper, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130855 · Cited by 265
Chenu, K., Chapman, S. C., Tardieu, F., McLean, G., Welcker, C., & Hammer, G. L. (2009) · Genetics · doi:10.1534/genetics.109.105429 · Cited by 237
Self-citationA multisite managed environment facility for targeted trait and germplasm phenotyping
Rebetzke, G. J., Chenu, K., Biddulph, B., Moeller, C., Deery, D. M., Rattey, A. R., Bennett, D., Barrett-Lennard, E. G., & Mayer, J. E. (2012) · Functional Plant Biology · doi:10.1071/fp12180 · Cited by 123
Cited by
Accelerating crop genetic gains with genomic selection
Voss-Fels, K. P., Cooper, M., & Hayes, B. J. (2019) · Theoretical and Applied Genetics · doi:10.1007/s00122-018-3270-8 · Cited by 381
Uncovering the hidden half of plants using new advances in root phenotyping
Atkinson, J. A., Pound, M. P., Bennett, M. J., & Wells, D. M. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2018.06.002 · Cited by 406
Self-citationConvolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
Jiang, Y., & Li, C. (2020) · Plant Phenomics · doi:10.34133/2020/4152816 · Cited by 380
Plant Phenotyping: Past, Present, and Future
Pieruschka, R., & Schurr, U. (2019) · Plant Phenomics · doi:10.34133/2019/7507131 · Cited by 341
Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence
Harfouche, A. L., Jacobson, D. A., Kainer, D., Romero, J. C., Harfouche, A. H., Scarascia Mugnozza, G., Moshelion, M., Tuskan, G. A., Keurentjes, J. J. B., & Altman, A. (2019) · Trends in Biotechnology · doi:10.1016/j.tibtech.2019.05.007 · Cited by 292
Metadata
- Authors
- Tardieu, F., Cabrera-Bosquet, L., Pridmore, T., & Bennett, M.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 27
- Issue
- 15
- Pages
- R770-R783
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2743464688
- Cited by
- 614
- References
- 9
- FWCI
- 43.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Tardieu, F., Cabrera-Bosquet, L., Pridmore, T., & Bennett, M. (2017). Plant Phenomics, From Sensors to Knowledge. Current Biology. https://doi.org/10.1016/j.cub.2017.05.055
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
