Automated identification of Lauraceae by scale-invariant feature transform
Author:
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Biomaterials
Link
http://link.springer.com/article/10.1007/s10086-017-1680-x/fulltext.html
Reference33 articles.
1. Christenhusz MJM, Byng JW (2016) The number of known plants species in the world and its annual increase. Phytotaxa 261(3):201–217
2. Watanabe U, Abe H, Yoshida K, Sugiyama J (2015) Quantitative evaluation of properties of residual DNA in Cryptomeria japonica wood. J Wood Sci 61(1):1–9
3. Abe H, Watanabe U, Yoshida K, Kuroda K, Zhang C (2011) Changes in organelle and DNA quality, quantity, and distribution in the wood of Cryptomeria japonica over long-term storage. IAWA J 32:263–272
4. Ohyama M, Baba K, Itoh T (2001) Wood identification of Japanese Cyclobalanopsis species (Fagaceae) based on DNA polymorphism of the intergenic spacer between trnT and trnL 5′ exon. J Wood Sci 47:81–86
5. Liu ZF, Ci XQ, Li L, Li HW, Conran JG, Li J (2017) DNA barcoding evaluation and implications for phylogenetic relationships in Lauraceae from China. PloS ONE 12(4), e0175788
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