声明
1 Introduction
1.1 Overview
1.2 Definition of Plant Diseases Detection
1.3 Why is it a real world problem?
1.4 Objectives and Contributions
1.5 Thesis Structure
2 Related Work
2.1 Previous Works on Plant diseases detection.
3 Background
3.1 General Neural Networks
3.2 Recurrent Neural Networks
3.3 Overfitting
4 Proposed Method
4.1 Introduction
4.2 System Architecture
4.3 Data collection and dataset preparation
4.4 Data preprocessing
4.5 Pre-trained CNN models and deep learning networks
4.6 Classification algorithm
4.7 Performance and evaluation metrics
4.8 Equipment’s configuration and libraries
5 Result and discussion
5.1 Feature extraction results with Resnet 50, Google Net and VGG16
5.2 Deep learning results based on Resnet 50, Google Net and VGG16
5.3 Results based on traditional shallow Networks
5.4 Discussion
6 Conclusion and Future Work
参考文献
Research Projects and Publications in Master Study
致谢
大连理工大学;
