# Gaobi Kang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/gaobi-kang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 76 |
| Field | Smart Agriculture and AI |
| h-index | 5 |
| i10-index | 4 |
| Last Known Institution | South China Agricultural University |
| OpenAlex ID | https://openalex.org/A5034962236 |
| ORCID iD | 0000-0002-0110-3445 |
| Works | 9 |

## Researcher papers

- [Attention-aided semantic segmentation network for weed identification in pineapple field](https://scholariq.org/papers/attention-aided-semantic-segmentation-network-for-weed-identification-in-2/)
- [Spectral Data Classification By One-Dimensional Convolutional Neural Networks](https://scholariq.org/papers/spectral-data-classification-by-one-dimensional-convolutional-neural-networks/)
- [Real-Time Lightweight Detection of Lychee Diseases with Enhanced YOLOv7 and Edge Computing](https://scholariq.org/papers/real-time-lightweight-detection-of-lychee-diseases-with-enhanced-yolov7-and-edge/)
- [YOLOv7-GCA: A Lightweight and High-Performance Model for Pepper Disease Detection](https://scholariq.org/papers/yolov7-gca-a-lightweight-and-high-performance-model-for-pepper-disease-detection/)
- [Lightweight Detection System with Global Attention Network (GloAN) for Rice Lodging](https://scholariq.org/papers/lightweight-detection-system-with-global-attention-network-gloan-for-rice/)
- [Attention-Aided Semantic Segmentation Network for Weed Identification in Pineapple Field](https://scholariq.org/papers/attention-aided-semantic-segmentation-network-for-weed-identification-in/)
- [Identification of Cotton Growing Stage Based on Faster-RCNN](https://scholariq.org/papers/identification-of-cotton-growing-stage-based-on-faster-rcnn/)
- [Transfer Learning Based Crop Disease Identification Using State-of-the-art Deep Learning Framework](https://scholariq.org/papers/transfer-learning-based-crop-disease-identification-using-state-of-the-art-deep/)
- [Correction: Yue et al. YOLOv7-GCA: A Lightweight and High-Performance Model for Pepper Disease Detection. Agronomy 2024, 14, 618](https://scholariq.org/papers/correction-yue-et-al-yolov7-gca-a-lightweight-and-high-performance-model-for/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)

## Researcher university

- [South China Agricultural University](https://scholariq.org/institutions/south-china-agricultural-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.