Optimizing Agricultural Prescription Recommendation with Cross-Modal Multi-Layer Feature Fusion of Crop Electronic Medical Records

Author:

Ding Junqi,Wang Bo,Qiao Yan,Zhang Lingxian

Publisher

Elsevier BV

Reference80 articles.

1. TA-BERT outperforms generic BERT in text encoding, demonstrating the value of task-adaptive pretraining. ConvNeXt-Small excels in image encoding;encoder comparisons

2. We examined six feature fusion strategies and found that low-rank bilinear attention used alone (strategy b) does not enhance model performance. Effective fusion occurred only when combining obtained bilinear attention features with lower-layer features (strategy e);Furthermore, introducing Transformer in the multi-layer feature fusion stage (strategy f)

3. Duck optimization with enhanced capsule network based citrus disease detection for sustainable crop management;A Arthi;Sustain. Energy Technol. Assessments,2023

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