A novel transfer learning-based approach for plant species prediction using leaf images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17311-8.pdf
Reference20 articles.
1. Wäldchen J, Mäder P (2018) Plant species identification using computer vision techniques: a systematic literature review. Arch Comput Methods Eng 25:507–543. https://doi.org/10.1007/s11831-016-9206-z
2. Sachar S, Kumar A (2020) Survey of feature extraction and classification techniques to identify plant through leaves. Expert Syst Appl 114181. https://doi.org/10.1016/j.eswa.2020.114181
3. Sun Y, Liu Y, Wang G, Zhang H (2017) Deep learning for plant identification in natural environment
4. Pearline A, Sobitha S, Vajravelu SK (2019) DDLA : dual deep learning architecture for classification of plant species. https://doi.org/10.1049/iet-ipr.2019.0346
5. Šulc M, Matas J (2017) Fine - grained recognition of plants from images. Plant Methods 1–14. https://doi.org/10.1186/s13007-017-0265-4
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