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Alhamdan, W. & Howe, J. M. 
ORCID: 0000-0001-8013-6941 (2021).
Classification of date fruits in a controlled environment using Convolutional Neural Networks.
In: Hassanien, A. E., Chang, K. C. & Mincong, T. (Eds.),
AMLTA 2021: Advanced Machine Learning Technologies and Applications.
(pp. 154-163). Cham, Switzerland: Springer.
ISBN 978-3-030-69716-7
doi: 10.1007/978-3-030-69717-4_16
Curran, P. J., Dungan, J. & Gholz, H. (1990). Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. Tree Physiology, 7(1-4), pp. 33-48. doi: 10.1093/treephys/7.1-2-3-4.33
Lemant, J., Le Sueur, C., Manojlović, V. & Noble, R. ORCID: 0000-0002-8057-4252 (2022).
Robust, Universal Tree Balance Indices.
Systematic Biology, 71(5),
pp. 1210-1224.
doi: 10.1093/sysbio/syac027
Mergos, P.E. ORCID: 0000-0003-3817-9520 & Yang, X-S. (2021).
Flower Pollination Algorithm Parameters Tuning.
Soft Computing,
doi: 10.1007/s00500-021-06230-1
Sun, S., Broom, M. ORCID: 0000-0002-1698-5495, Johanis, M. & Rychtar, J. (2021).
A mathematical model of kin selection in floral displays.
Journal of Theoretical Biology, 509,
110470.
doi: 10.1016/j.jtbi.2020.110470