Research on the Classification of Sun-Dried Wild Ginseng Based on an Improved ResNeXt50 Model
Ginseng is a common medicinal herb with high value due to its unique medicinal properties. Traditional methods for classifying ginseng rely heavily on manual judgment, which is time-consuming and subjective. In contrast, deep learning methods can objectively learn the features of ginseng, saving bot...
Saved in:
| Main Authors: | Dongming Li, Zhenkun Zhao, Yingying Yin, Chunxi Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/22/10613 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SC-ResNeXt: A Regression Prediction Model for Nitrogen Content in Sugarcane Leaves
by: Zihao Lu, et al.
Published: (2025-01-01) -
FAULT DIAGNOSIS OF WIND TURBINE BEARING BASED ON SENET-RESNEXT-LSTM
by: DU HaoFei, et al.
Published: (2023-12-01) -
YOLOGX: an improved forest fire detection algorithm based on YOLOv8
by: Caixiong Li, et al.
Published: (2025-01-01) -
TrashNeXt: Classification of recyclable water pollutants using deep transfer learning method
by: Jahid Tanvir, et al.
Published: (2025-06-01) -
A Novel Intelligent Fault Diagnosis Method of Rolling Bearings Based on the ConvNeXt Network with Improved DenseBlock
by: Jiahao Song, et al.
Published: (2024-12-01)