Deep BarkID: a portable tree bark identification system by knowledge distillation
Author:
Funder
Foundation for Food and Agriculture Research
National Institute of Food and Agriculture
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Forestry
Link
https://link.springer.com/content/pdf/10.1007/s10342-021-01407-7.pdf
Reference32 articles.
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2. Boudra S, Yahiaoui I, Behloul A (2018) Plant identification from bark: a texture description based on statistical macro binary pattern. In: Proc. 24th Int. Conf. Pattern Recognit. (ICPR 2018), pp 1530–1535. https://doi.org/10.1109/ICPR.2018.8545798
3. Boudra S, Yahiaoui I, Behloul A (2020) A set of statistical radial binary patterns for tree species identification based on bark images. Multimed Tools Appl. https://doi.org/10.1007/s11042-020-08874-x
4. Carpentier M, Giguère P, Gaudreault J (2018) Tree species identification from bark images using convolutional neural networks. In: Proc. 2018 IEEE/RSJ Int. Conf. Intell. Robot. Syst. (IROS 2018), pp 1075–1081. https://doi.org/10.1109/IROS.2018.8593514
5. Fekri-Ershad S (2020) Bark texture classification using improved local ternary patterns and multilayer neural network. Expert Syst Appl 158:113509. https://doi.org/10.1016/j.eswa.2020.113509
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