Apple leaf disease recognition in natural scenes based on re-parameterized SSD algorithm

Wenjie Luo; Linqing Cai; Yanhua Yang

doi:10.1117/12.2674686

23 May 2023 Apple leaf disease recognition in natural scenes based on re-parameterized SSD algorithm

Wenjie Luo, Linqing Cai, Yanhua Yang

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043V (2023) https://doi.org/10.1117/12.2674686
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

At present, apple disease control mainly relies on manual recognition, which causes a waste of human resources. In order to improve the efficiency of disease detection, this study focuses on apple leaf disease images in natural scenes. A lightweight network RepSSD consisting of feature extraction module, multi-scale feature recognition, and structural reparameterization is designed to detect apple leaf diseases. Replace the backbone part of the network with RepVGG-A0 without identity branch, and the auxiliary convolutional layer is replaced with a re-parameterized RepConv module without identity branch on top of the SSD. The CBAM attention mechanism module is also added to ensure adequate extraction of global features of apple leaf disease images in natural scenes. The experimental results show that the improved SSD has better detection accuracy and real-time performance in apple leaf disease recognition with an accuracy of 93.05%, which is 2.56% better than the original SSD, and the overall number of parameters decreases by 47.8%, the computation volume reduces by 86.7%, so the overall effect is better than the current common object detection models. Therefore, the algorithm can be better applied to apple disease control. Therefore, the model can be better used for apple disease control.

Citation Download Citation

Wenjie Luo, Linqing Cai, and Yanhua Yang "Apple leaf disease recognition in natural scenes based on re-parameterized SSD algorithm", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043V (23 May 2023); https://doi.org/10.1117/12.2674686

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KEYWORDS

Diseases and disorders

Object detection

Convolution

Education and training

Feature extraction

Agriculture

Performance modeling

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