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Rice quality recognition method based on multimodal model
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AI
DOI：10.1016/j.foodcont.2025.111691.png)
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Abstract
En 中文
• Proposes a fast, convenient, and low-cost method for identifying rice quality. • Research on vit-Restnet18-A-DG recognition based on multiple data sources (image and gas sensor data). • Compares three multimodal architectures and selects ViT Resnet18-A for improvement, adding a fully connected layer and replacing Resnet18 with a 1D convolution + bidirectional GRU.
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