Identification Method of Mature Wheat Varieties Based on Improved DenseNet Model
Wheat is a crucial grain crop in China, yet differentiating different wheat varieties at the mature stage solely through visual observation remains challenging. However, the automatic identification of wheat varieties at the mature stage is very important for field management, planting area, and yie...
Saved in:
| Main Authors: | Zihang Liu, Yuting Zhang, Guifa Teng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/7/736 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms
by: Jay Prakash Singh, et al.
Published: (2025-06-01) -
Enhanced DL-Based Breast Cancer Diagnosis and Classification Using Modified DenseNet-121, DenseNet-201, and MobileNetV2: Optimized Architectures and Refined Activation Functions
by: Khaddouj Taifi, et al.
Published: (2025-01-01) -
An Improved Neural Network Model Based on DenseNet for Fabric Texture Recognition
by: Li Tan, et al.
Published: (2024-12-01) -
DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification
by: Musa Adamu Wakili, et al.
Published: (2025-01-01) -
A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet
by: Muhammad Waqas Ahmed, et al.
Published: (2025-01-01)