Agricultural Engineering
大豆叶片病害分类
Soybean Leaf Disease ClassificationA deep-learning workflow for classifying soybean leaf images into six categories: Bacterial Blight, Ferrugun, Healthy_pic, Powdery Mildew, Sudden Death Syndrome, and Yellow Mosaic. / 一种用于将大豆叶片图像分类为六类（细菌性枯萎病、铁锈病、健康图片、白粉病、猝倒综合症和黄斑病）的深度学习工作流程。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-03 16:06:56
Sub-knowledge points
PreprocessingModel designModel analysisModel implementationEvaluation of metricsBilingual prediction interface
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
MobileNetV2: Transfer-learning architectureEfficientNetB0: Transfer-learning architectureDataset: 957 images (654 train, 157 validation, 146 test)
Open problems
Performance dependency on test splitUnstimulated field conditions
Related literature
ranked by community starsSoybean Leaf Disease Classification using MobileNetV2 and EfficientNetB0Open source
Related products and links
MobileNetV2EfficientNetB0
Creation and modification trail
1 recordsRecord title: Soybean Leaf Disease Classification.
Node update feedback
review required