# Guowei Dai

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/guowei-dai/

## Facts

| Field | Value |
| --- | --- |
| Citations | 535 |
| Field | Smart Agriculture and AI |
| h-index | 10 |
| i10-index | 13 |
| Last Known Institution | Sichuan University |
| OpenAlex ID | https://openalex.org/A5002613015 |
| ORCID iD | 0000-0003-0054-0392 |
| Works | 29 |

## Researcher papers

- [DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification](https://scholariq.org/papers/dfn-psan-multi-level-deep-information-feature-fusion-extraction-network-for/)
- [ITF-WPI: Image and text based cross-modal feature fusion model for wolfberry pest recognition](https://scholariq.org/papers/itf-wpi-image-and-text-based-cross-modal-feature-fusion-model-for-wolfberry-pest/)
- [PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism](https://scholariq.org/papers/pplc-net-neural-network-based-plant-disease-identification-model-supported-by/)
- [A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets](https://scholariq.org/papers/a-deep-learning-based-object-detection-scheme-by-improving-yolov5-for-sprouted/)
- [An Industrial-Grade Solution for Crop Disease Image Detection Tasks](https://scholariq.org/papers/an-industrial-grade-solution-for-crop-disease-image-detection-tasks/)
- [DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification](https://scholariq.org/papers/da-actnn-yolov5-hybrid-yolo-v5-model-with-data-augmentation-and-activation-of/)
- [Automated Identification of Insect Pests: A Deep Transfer Learning Approach Using ResNet](https://scholariq.org/papers/automated-identification-of-insect-pests-a-deep-transfer-learning-approach-using/)
- [Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects](https://scholariq.org/papers/chinese-medicine-in-the-era-of-artificial-intelligence-challenges-and/)
- [Efficient Method for Photovoltaic Power Generation Forecasting Based on State Space Modeling and BiTCN](https://scholariq.org/papers/efficient-method-for-photovoltaic-power-generation-forecasting-based-on-state/)
- [Automated Fruit Classification Based on Deep Learning Utilizing Yolov8](https://scholariq.org/papers/automated-fruit-classification-based-on-deep-learning-utilizing-yolov8/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

## Researcher university

- [Sichuan University](https://scholariq.org/institutions/sichuan-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.