# Rice Growth Stage Classification via RF-Based Machine Learning and Image Processing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rice-growth-stage-classification-via-rf-based-machine-learning-and-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rodney Tai-Chu Sheng,Yu-Hsiang Huang,Pin-Cheng Chan,Showkat Ahmad Bhat,Yi-Chien Wu,Nen‐Fu Huang |
| Citations | 44 |
| DOI | 10.3390/agriculture12122137 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2077-0472/12/12/2137/pdf?version=1671511135 |
| OpenAlex ID | https://openalex.org/W4312139899 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Pin-Cheng Chan](https://scholariq.org/researchers/pin-cheng-chan/)

## Paper journal

- [Agriculture](https://scholariq.org/journals/agriculture/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Rice Cultivation and Yield Improvement](https://scholariq.org/topics/rice-cultivation-and-yield-improvement/)

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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.