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 …
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 …
Apple varieties classification using light weight CNN Model
U Shruthi, KS Narmadha, E Meghana… - … on circuits, control …, 2022 - ieeexplore.ieee.org
Fruit classification is a vital task in many industrial contexts. The automated fruit classification
system is becoming more and more important in the food-processing sector. In this paper …
system is becoming more and more important in the food-processing sector. In this paper …
A CNN Model-based ensemble approach for Fruit identification using seed
With the advancement of computer vision techniques, image classification is being applied
in many areas now. Convolutional Neural Network (CNN) has been very successful in …
in many areas now. Convolutional Neural Network (CNN) has been very successful in …
A deep-learning method for the classification of apple varieties via leaf images from different growth periods in natural environment
J Chen, J Han, C Liu, Y Wang, H Shen, L Li - Symmetry, 2022 - mdpi.com
With the continuous innovation and development of technologies for breeding varieties of
fruits, there are more than 8000 varieties of apples in existence. The accurate identification …
fruits, there are more than 8000 varieties of apples in existence. The accurate identification …
Explainable deep learning study for leaf disease classification
K Wei, B Chen, J Zhang, S Fan, K Wu, G Liu, D Chen - Agronomy, 2022 - mdpi.com
Explainable artificial intelligence has been extensively studied recently. However, the
research of interpretable methods in the agricultural field has not been systematically …
research of interpretable methods in the agricultural field has not been systematically …
Machine vision based fruit classification and grading—a review
D Chaudhari, S Waghmare - ICCCE 2021: Proceedings of the 4th …, 2022 - Springer
The appearance or external features is one of the important aspect, it impacts the
consumer's market value, desires, and choice but also, to a certain degree, its internal …
consumer's market value, desires, and choice but also, to a certain degree, its internal …
A Novel Identification Method for Apple (Malus domestica Borkh.) Cultivars Based on a Deep Convolutional Neural Network with Leaf Image Input
C Liu, J Han, B Chen, J Mao, Z Xue, S Li - Symmetry, 2020 - mdpi.com
The innovation of germplasm resources and the continuous breeding of new varieties of
apples (Malus domestica Borkh.) have yielded more than 8000 apple cultivars. The ability to …
apples (Malus domestica Borkh.) have yielded more than 8000 apple cultivars. The ability to …
[PDF][PDF] A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM.
Dragon fruit, known for its rich antioxidant content and low-calorie attributes, has garnered
significant attention as a health-promoting fruit. Its economic value has also surged due to …
significant attention as a health-promoting fruit. Its economic value has also surged due to …
Method for classifying apple leaf diseases based on dual attention and multi-scale feature extraction
J Ding, C Zhang, X Cheng, Y Yue, G Fan, Y Wu… - Agriculture, 2023 - mdpi.com
Image datasets acquired from orchards are commonly characterized by intricate
backgrounds and an imbalanced distribution of disease categories, resulting in suboptimal …
backgrounds and an imbalanced distribution of disease categories, resulting in suboptimal …