A novel approach using hybrid deep features for citrus disease detection and classification based on NCA and Bayesian optimised random forest classifier
Shailesh Gondal, Shweta Agrawal
| Year of publication: |
2024
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|---|---|
| Authors: | Gondal, Shailesh ; Agrawal, Shweta |
| Published in: |
International journal of services, economics and management. - Olney : Inderscience, ISSN 1753-0830, ZDB-ID 2418235-7. - Vol. 15.2024, 5, p. 551-571
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| Subject: | AlexNet | Bayesian optimisation | CNN | convolutional neural network | etc | FDI | fruit disease image | Gabor wavelet | GLCM | grey level co-occurrence matrix | K-nearest neighbours | KNN | NCA | neighbourhood component analysis | random forest | RF | Bayes-Statistik | Bayesian inference | Neuronale Netze | Neural networks | Auslandsinvestition | Foreign investment | Algorithmus | Algorithm | Mathematische Optimierung | Mathematical programming | Klassifikation | Classification |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJSEM.2024.140942 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015444183