A. Angelova, S. Zhu, Y. Lin, J. Wong, and C. Shpecht, Development and deployment of a large-scale flower recognition mobile app, 2012.

E. Aptoula and B. Yanikoglu, Morphological features for leaf based plant recognition, 2013 IEEE International Conference on Image Processing, p.7, 2013.
DOI : 10.1109/ICIP.2013.6738307

A. R. Backes, D. Casanova, and O. M. Bruno, PLANT LEAF IDENTIFICATION BASED ON VOLUMETRIC FRACTAL DIMENSION, International Journal of Pattern Recognition and Artificial Intelligence, vol.23, issue.06, pp.1145-1160, 2009.
DOI : 10.1142/S0218001409007508

L. Breiman, Bagging predictors, Machine Learning, vol.10, issue.2, pp.123-140, 1996.
DOI : 10.1007/BF00058655

G. Cerutti, L. Tougne, A. Vacavant, and D. Coquin, A Parametric Active Polygon for Leaf Segmentation and Shape Estimation, International Symposium on Visual Computing, pp.202-213, 2011.
DOI : 10.1016/j.cviu.2009.05.002

URL : https://hal.archives-ouvertes.fr/hal-00622269

J. Champ, T. Lorieul, M. Servajean, and A. Joly, A comparative study of fine-grained classification methods in the context of the lifeclef plant identification challenge 2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01182788

T. H. Chan, K. Jia, S. Gao, J. Lu, Z. Zeng et al., Pcanet: A simple deep learning baseline for image classification? arXiv preprint arXiv, pp.1404-3606, 2014.

S. Choi, Plant identification with deep convolutional neural network: Snumedinfo at lifeclef plant identification task 2015, 2015.

J. Deng, W. Dong, R. Socher, L. J. Li, K. Li et al., Imagenet: A large-scale hierarchical image database, CVPR 2009. IEEE Conference on, pp.248-255, 2009.

Z. Ge, C. Mccool, and P. Corke, Content specific feature learning for fine-grained plant classification, 2015.

H. Goëau, P. Bonnet, A. Joly, N. Boujemaa, D. Barthélémy et al., The ImageCLEF 2011 plant images classification task, CLEF working notes, 2011.

H. Goëau, A. Joly, S. Selmi, P. Bonnet, E. Mouysset et al., Visual-based plant species identification from crowdsourced data, Proceedings of the 19th ACM international conference on Multimedia, MM '11, 2011.
DOI : 10.1145/2072298.2072472

A. Hazra, K. Deb, S. Kundu, and P. Hazra, Shape Oriented Feature Selection for Tomato Plant Identification, International Journal of Computer Applications Technology and Research, vol.2, issue.4, p.449, 2013.
DOI : 10.7753/IJCATR0204.1011

A. Joly, H. Goëau, P. Bonnet, V. Baki´cbaki´c, J. Barbe et al., Interactive plant identification based on social image data, Ecological Informatics, vol.23, pp.22-34, 2014.
DOI : 10.1016/j.ecoinf.2013.07.006

URL : https://hal.archives-ouvertes.fr/hal-00908872

A. Joly, H. Goëau, P. Bonnet, V. Bakic, J. F. Molino et al., The imageclef plant identification task 2013 In: International workshop on Multimedia analysis for ecological data, 2013.

H. Kebapci, B. Yanikoglu, and G. Unal, Plant Image Retrieval Using Color, Shape and Texture Features, The Computer Journal, vol.54, issue.9, pp.1475-1490, 2011.
DOI : 10.1093/comjnl/bxq037

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks In: Advances in neural information processing systems, pp.1097-1105, 2012.

N. Kumar, P. N. Belhumeur, A. Biswas, D. W. Jacobs, W. J. Kress et al., Leafsnap: A Computer Vision System for Automatic Plant Species Identification, European Conference on Computer Vision, pp.502-516, 2012.
DOI : 10.1007/978-3-642-33709-3_36

T. L. Le, D. N. Dng, H. Vu, and T. N. Nguyen, Mica at lifeclef 2015: Multi-organ plant identification, 2015.

M. Lux and S. A. Chatzichristofis, Lire: lucene image retrieval, Proceeding of the 16th ACM international conference on Multimedia, MM '08, pp.1085-1088, 2008.
DOI : 10.1145/1459359.1459577

B. Mostafa-mehdipour-ghazi, E. A. Yanikoglu, and M. C. Ozdemir, Sabanciokan system in lifeclef 2015 plant identification competition, 2015.

S. Mouine, I. Yahiaoui, and A. Verroust-blondet, Advanced shape context for plant species identification using leaf image retrieval, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR '12, pp.1-498, 2012.
DOI : 10.1145/2324796.2324853

URL : https://hal.archives-ouvertes.fr/hal-00726785

M. E. Nilsback and A. Zisserman, Automated Flower Classification over a Large Number of Classes, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, pp.722-729, 2008.
DOI : 10.1109/ICVGIP.2008.47

F. Perronnin, J. Sánchez, and T. Mensink, Improving the fisher kernel for largescale image classification, Computer Vision?ECCV 2010, pp.143-156, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00548630

A. K. Reyes, J. C. Caicedo, and J. E. Camargo, Fine-tuning deep convolutional networks for plant recognition, 2015.

C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed et al., Going deeper with convolutions. arXiv preprint arXiv, pp.1409-4842, 2014.

E. M. Voorhees, The trec-8 question answering track report, In: TREC, vol.99, pp.77-82, 1999.