Flower Pollination Algorithm-Optimized Deep CNN Features for Almond(Prunus dulcis) Classification
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Almond is a nut rich in essential nutrients. In addition to being a food, it is also used in cosmetics and the pharmaceutical industry. The market value of almonds is determined according to the quality of the almonds. Manually determining the quality of almonds by humans is a prone to error, time-consuming, and tiring process. In this study, For this reasons, well-known twelve pre-trained CNNs were used to classify almonds as normal and damaged. Then, the most successful model was used as a feature extractor, and the features were classified with various machine learning algorithms. In addition to all these, features were selected by using the FPA algorithm, and the classification process was carried out. Experimental results showed that the use of CNNs as feature extractors and classification with machine learning algorithms can provide better results than the classical softmax structure. In addition, the proposed FPA-based feature extraction increases the classification performance. © 2024 IEEE.
Açıklama
4th International Conference on Emerging Systems and Intelligent Computing, ESIC 2024 -- 9 February 2024 through 10 February 2024 -- Bhubaneswar -- 198536
Anahtar Kelimeler
Almond; Artificial Bee Colony; Classification; CNN; Feature Extraction; Flower Pollination Optimization
Kaynak
ESIC 2024 - 4th International Conference on Emerging Systems and Intelligent Computing, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
