# Yan‐Fu Kuo

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yan-fu-kuo/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,036 |
| Field | Smart Agriculture and AI |
| h-index | 17 |
| i10-index | 24 |
| Last Known Institution | National Taiwan University |
| OpenAlex ID | https://openalex.org/A5036030890 |
| ORCID iD | 0000-0002-5886-5643 |
| Works | 93 |

## Researcher papers

- [Detecting Bakanae disease in rice seedlings by machine vision](https://scholariq.org/papers/detecting-bakanae-disease-in-rice-seedlings-by-machine-vision/)
- [Identifying rice grains using image analysis and sparse-representation-based classification](https://scholariq.org/papers/identifying-rice-grains-using-image-analysis-and-sparse-representation-based/)
- [Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks](https://scholariq.org/papers/detecting-and-counting-harvested-fish-and-identifying-fish-types-in-electronic/)
- [Automatic measurement of the body length of harvested fish using convolutional neural networks](https://scholariq.org/papers/automatic-measurement-of-the-body-length-of-harvested-fish-using-convolutional/)
- [Strawberry foliar anthracnose assessment by hyperspectral imaging](https://scholariq.org/papers/strawberry-foliar-anthracnose-assessment-by-hyperspectral-imaging/)
- [Identifying the species of harvested tuna and billfish using deep convolutional neural networks](https://scholariq.org/papers/identifying-the-species-of-harvested-tuna-and-billfish-using-deep-convolutional/)
- [QR code detection using convolutional neural networks](https://scholariq.org/papers/qr-code-detection-using-convolutional-neural-networks/)
- [Quantifying floral shape variation in 3D using microcomputed tomography: a case study of a hybrid line between actinomorphic and zygomorphic flowers](https://scholariq.org/papers/quantifying-floral-shape-variation-in-3d-using-microcomputed-tomography-a-case/)
- [Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networks](https://scholariq.org/papers/automatic-monitoring-of-lactation-frequency-of-sows-and-movement-quantification/)
- [Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae) using deep convolutional neural networks](https://scholariq.org/papers/differentiating-between-morphologically-similar-species-in-genus-cinnamomum/)
- [Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot](https://scholariq.org/papers/identifying-tomato-leaf-diseases-under-real-field-conditions-using-convolutional/)

## 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/)
- [Color Science and Applications](https://scholariq.org/topics/color-science-and-applications/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Researcher university

- [National Taiwan University](https://scholariq.org/institutions/national-taiwan-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.