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 …
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
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 …
patients. Dermoscopy is a non-invasive approach that utilizes specific equipment to examine …
Apple Varieties Classification Using Deep Features and Machine Learning
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 …
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 …
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 …
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 …
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
Deep learning networks, more specifically convolutional neural networks, have shown a
notable distinction when it comes to computer vision problems. Their versatility spans …
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 …
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 …
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 …
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 …