Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference45 articles.
1. Vilasini M, Ramamoorthy P (2020) Machine learning approaches for classification of Indian leaf species using smartphone images. A Thesis submitted to Faculty of Information and Communication Engineering, Anna University. http://hdl.handle.net/10603/333970. Accessed 15 Nov 2022
2. Kan HX, Jin L, Zhou FL (2017) Classification of medicinal plant leaf image based on multi-feature extraction. Pattern Recognit Image Anal 27:581–587. https://doi.org/10.1134/S105466181703018X
3. Ganguly S, Bhowal P, Oliva D, Sarkar R (2022) BLeafNet: a bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification. Ecol Inf 69:101585. https://doi.org/10.1016/j.ecoinf.2022.101585. (ISSN 1574–9541)
4. Sathwik T, Yasaswini R, Venkatesh R, Gopal A (2013) Classification of selected medicinal plant leaves using texture analysis. 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2013, pp. 1–6. https://doi.org/10.1109/ICCCNT.2013.6726793
5. Figueiredo MSL, Grelle CEV (2009) Predicting global abundance of a threatened species from its occurrence: implications for conservation planning. Divers Distrib 15:117–121. https://doi.org/10.1111/j.1472-4642.2008.00525.x
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