Deep learning-based intelligent apple variety classification system and model interpretability analysis

F Yu, T Lu, C Xue - Foods, 2023 - mdpi.com
In this study, series networks (AlexNet and VGG-19) and directed acyclic graph (DAG)
networks (ResNet-18, ResNet-50, and ResNet-101) with transfer learning were employed to …

Henry gas solubility optimization algorithm based feature extraction in dermoscopic images analysis of skin cancer

M Obayya, A Alhebri, M Maashi, A S. Salama… - Cancers, 2023 - mdpi.com
Simple Summary Early diagnosis of skin cancer is vital for providing effective treatment for
patients. Dermoscopy is a non-invasive approach that utilizes specific equipment to examine …

Apple Varieties Classification Using Deep Features and Machine Learning

A Taner, MT Mengstu, KÇ Selvi, H Duran, İ Gür… - Agriculture, 2024 - mdpi.com
Having the advantages of speed, suitability and high accuracy, computer vision has been
effectively utilized as a non-destructive approach to automatically recognize and classify …

Wheat-seed variety recognition based on the GC_DRNet model

X Xing, C Liu, J Han, Q Feng, Q Lu, Y Feng - Agriculture, 2023 - mdpi.com
Wheat is a significant cereal for humans, with diverse varieties. The growth of the wheat
industry and the protection of breeding rights can be promoted through the accurate …

Research on species identification of wild grape leaves based on deep learning

B Pan, C Liu, B Su, Y Ju, X Fan, Y Zhang, L Sun… - Scientia …, 2024 - Elsevier
There are more than 70 species of Vitis in the world, and 40 species, 1 subspecies and 13
varieties of Vitis native from China. Wild grapes are diverse and complex, and it is difficult to …

A case study toward apple cultivar classification using deep learning

S Krug, T Hutschenreuther - AgriEngineering, 2023 - mdpi.com
Machine Learning (ML) has enabled many image-based object detection and recognition-
based solutions in various fields and is the state-of-the-art method for these tasks currently …

[HTML][HTML] Deep learning networks for olive cultivar identification: A comprehensive analysis of convolutional neural networks

J Mendes, J Lima, L Costa, N Rodrigues… - Smart Agricultural …, 2024 - Elsevier
Deep learning networks, more specifically convolutional neural networks, have shown a
notable distinction when it comes to computer vision problems. Their versatility spans …

Enhancing Apple Cultivar Classification Using Multiview Images

S Krug, T Hutschenreuther - Journal of Imaging, 2024 - mdpi.com
Apple cultivar classification is challenging due to the inter-class similarity and high intra-
class variations. Human experts do not rely on single-view features but rather study each …

A comparative study of distinguishing apple cultivars and a clone based on features of selected fruit parts and leaves using image processing and artificial intelligence

E Ropelewska, M Lewandowski - Acta Scientiarum …, 2024 - czasopisma.up.lublin.pl
This study aimed to identify the most useful white-fleshed apple samples to distinguish apple
cultivars and a clone. Whole apples, apple slices, seeds, and leaves belonging to 'Free …

[HTML][HTML] 基于CBAM-ResNet50 模型的水果图像识别

常添春, 王联国 - Software Engineering and Applications, 2024 - hanspub.org
针对传统水果分类识别精度低, 人工成本高等问题, 提出一种基于CBAM-ResNet50
模型的水果图像识别算法. 首先, 采用迁移学习技术, 将ImageNet 数据集上训练好的权重参数 …