Crop diseases seriously affect food security, and traditional identification methods are inefficient and inaccurate. This paper proposes a GoogLeNet model with an attention mechanism. By integrating an attention module inside the Inception module, the recognition ability of subtle disease features and complex backgrounds is improved. Based on strict data preprocessing and enhancement, the proposed method achieves 87.75% accuracy on the AI Challenger 2018 crop disease dataset, which is better than the existing advanced methods, which verifies the effectiveness and practicability of the method and provides technical support for smart agriculture.

ABSTRACT
1. Introduction
2. Related Work
3. Materials and Methods
    3.1 Datasets and Preprocessing
    3.2 GoogLeNet and Inception Module
    3.3 Attention Mechanism Module
    3.4 Proposed Fusion Strategies
4. Results and Discussion
    4.1 Experiments Settings
    4.2 Comparison with the baseline model
    4.3 Comparison with state-of-the-art methods
5. Conclusion and Future Work
참고문헌
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• Gwang-Jun Kim(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 김광준
• Seung-Eon Jeong(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 정승언
• Changyu-AO(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 아오창유 Corresponding author
• Soo-Kyung Moon(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 문수경
• Dae-Won Park(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 박대원
• Youn-Mo Soung(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 성윤모
• Man-Sung Kwen(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 권만성
• Uk Cho(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 조욱
• Dae-In Kang(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 강대인
• Sung-Ho Jung(Department of Computer Engineering, Chonnam National University, Yeosu, Seoul, Korea) | 정성호