Hongyun Yang, Xiaomei Xiao, Qiong Huang, Guoliang Zheng, Wenlong Yi. Rice Pest Identification Based on Convolutional Neural Network and Transfer Learning[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1615004
- Laser & Optoelectronics Progress
- Vol. 59, Issue 16, 1615004 (2022)
Fig. 1. Samples of rice pests. (a) Rice weevil; (b) rice planthopper; (c) rice grasshopper; (d) striped rice borer; (e) rice leaf roller; (f) yellow rice borer
Fig. 2. Structure of convolutional neural network
Fig. 3. VGG16 convolutional neural network model
Fig. 4. Flow chart of rice pest algorithm based on CNN and parameter migration
Fig. 5. Recognition effect based on the newly learned VGG16. (a) Accuracy curve;(b) loss curve
Fig. 6. [in Chinese]
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Table 1. Rice pest dataset
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Table 2. Experimental comparison of different top-level design schemes
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Table 3. Influence of freezing all convolutional layers on experiment
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Table 4. Comparison between improved scheme and original model
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Table 5. Classification performance of proposed model
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Table 6. Performance comparison of different network models
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