# A hybrid machine learning approach to automatic plant phenotyping for smart agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-machine-learning-approach-to-automatic-plant-phenotyping-for-smart/

## Facts

| Field | Value |
| --- | --- |
| Author Names | So Yahata,Tetsu Onishi,Kanta Yamaguchi,Seiichi Ozawa,Jun Kitazono,Takenao Ohkawa,Takeshi Yoshida,Noriyuki Murakami,Hiroyuki Tsuji |
| Citations | 47 |
| DOI | 10.1109/ijcnn.2017.7966067 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2736069117 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Seiichi Ozawa](https://scholariq.org/researchers/seiichi-ozawa/)

## 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/)

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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.