Love, N.L.R.; Bonnet, P.; Goëau, H.; Joly, A.; Mazer, S.J.
Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus. Plants 2021, 10, 2471.
https://doi.org/10.3390/plants10112471
AMA Style
Love NLR, Bonnet P, Goëau H, Joly A, Mazer SJ.
Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus. Plants. 2021; 10(11):2471.
https://doi.org/10.3390/plants10112471
Chicago/Turabian Style
Love, Natalie L. R., Pierre Bonnet, Hervé Goëau, Alexis Joly, and Susan J. Mazer.
2021. "Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus" Plants 10, no. 11: 2471.
https://doi.org/10.3390/plants10112471
APA Style
Love, N. L. R., Bonnet, P., Goëau, H., Joly, A., & Mazer, S. J.
(2021). Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus. Plants, 10(11), 2471.
https://doi.org/10.3390/plants10112471