Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference55 articles.
1. Plant species or flower colour diversity? Identifying the drivers of public and invertebrate response to designed annual meadows;Hoyle;Landsc. Urban Plan.,2018
2. The effects of host species and sexual dimorphism differ among root, leaf and flower microbiomes of wild strawberries in situ;Wei;Sci. Rep.,2018
3. Pollinators show flower colour preferences but flowers with similar colours do not attract similar pollinators;Reverté;Ann. Bot.,2016
4. M.J.M. Christenhusz, J.W. Byng, The Number of known Plants Species in the Word and its Annual Increase, Phytotaxa 261 (2016) 201–217. 10.11646/phytotaxa.261.3.1 ISSN.
5. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study;Faes;Lancet Digit. Heal.,2019
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