PhenoBot: an automated system for leaf area analysis using deep learning
Author:
Funder
Corteva Agriscience
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics
Link
https://link.springer.com/content/pdf/10.1007/s00425-023-04068-5.pdf
Reference52 articles.
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2. Apolo-Apolo OE, Pérez-Ruiz M, Martínez-Guanter J, Egea G (2020) A mixed data-based deep neural network to estimate leaf area index in wheat breeding trials. Agronomy 10(2):175. https://doi.org/10.3390/agronomy10020175
3. Barth R, IJsselmuiden J, Hemming J, Van Henten EJ (2018) Data synthesis methods for semantic segmentation in agriculture: a Capsicum annuum dataset. Comput Electron Agric 144:284–296. https://doi.org/10.1016/j.compag.2017.12.001
4. Batchelor WD, Jones JW, Boote KJ, Pinnschmidt HO (1993) Extending the use of crop models to study pest damage. Trans ASAE 36(2):551–558. https://doi.org/10.13031/2013.28372
5. Baye TM, Abebe T, Wilke RA (2011) Genotype–environment interactions and their translational implications. Per Med 8(1):59–70. https://doi.org/10.2217/pme.10.75
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