Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
Author:
Funder
BMBF
BfN
SNT
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11831-016-9206-z/fulltext.html
Reference159 articles.
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2. Abdel-Hakim AE, Farag AA (2006) Csift: a sift descriptor with color invariant characteristics. In: 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR’06), vol 2. IEEE, pp 1978–1983. doi: 10.1109/CVPR.2006.95
3. Apriyanti D, Arymurthy A, Handoko L (2013) Identification of orchid species using content-based flower image retrieval. In: 2013 International conference on computer, control, informatics and its applications (IC3INA), pp 53–57. doi: 10.1109/IC3INA.2013.6819148
4. Aptoula E, Yanikoglu B (2013) Morphological features for leaf based plant recognition. In: 2013 20th IEEE international conference on image processing (ICIP), pp 1496–1499. doi: 10.1109/ICIP.2013.6738307
5. Arun Priya C, Balasaravanan T, Thanamani A (2012) An efficient leaf recognition algorithm for plant classification using support vector machine. In: 2012 International conference on pattern recognition, informatics and medical engineering (PRIME), pp 428–432. doi: 10.1109/ICPRIME.2012.6208384
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