DenseViT-XGB: A hybrid approach for dates varieties identification-Reference-Cited by-同舟云学术

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DenseViT-XGB: A hybrid approach for dates varieties identification

Published:2024-09 Issue: Volume:596 Page:127976
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Neji Ines,Ben Aoun Najib^ORCID,Boujnah Noureddine,Ejbali Ridha

Publisher

Elsevier BV

Reference55 articles.

1. Apple varieties classification using deep features and machine learning;Taner;Agriculture,2024

2. A novel identification method for apple (Malus domestica Borkh.) cultivars based on a deep convolutional neural network with leaf image input;Liu;Symmetry,2020

3. A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms;Kılıçarslan;Eur. Food Res. Technol.,2024

4. Callus culture and plantlet regeneration in date palm (Phoneix dactylifera L.): An important horticultural cash crop for arid and semi-arid horticulture;Rathore;Physiol. Mol. Biol. Plants,2020

5. The date palm (Phoenix dactylifera L.): Overview of biology, uses, and cultivation;Chao;HortSci. Horts,2007

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