An Improved Classification Model Based on Feature Fusion for Orchid Species
Author:
Funder
Guangdong Basic and Applied Basic Research Foundation
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01705-7.pdf
Reference22 articles.
1. Devadas R, Pamarthi R, Meitei A, Pattanayak SR et al (2019) Morphological description of novel phaius primary hybrid (orchidaceae). J Exp Biol Agric Sci 7(2):138–147
2. Hossain MM (2015) Ex vitro seedling development from in vitro rhizome-like bodies in eulophia p omensis lindl: a new technique for orchid propagation. J Bot 1–6
3. Sanjaya KWV, Vijesekara HMSS, Wickramasinghe IMAC (2015) Amalraj CRJ Orchid classification Disease identification and healthiness prediction system. Int J Sci Technol Res 4(3):215–220
4. Andono PN, Rachmawanto EH, Herman NS et al (2021) Orchid types classification using supervised learning algorithm based on feature and color extraction. Bull Electr Eng Inf 10(5):2530–2538
5. Chen Y et al (2019) Variety identification of orchids using Fourier transform infrared spectroscopy combined with stacked sparse auto-encoder. Molecules 24(13):2506
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