# Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/identification-of-haploid-and-diploid-maize-seeds-using-convolutional-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yahya Altuntaş,Zafer Cömert,Adnan Fatıh Kocamaz |
| Citations | 176 |
| DOI | 10.1016/j.compag.2019.104874 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2954926493 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Yahya Altuntaş](https://scholariq.org/researchers/yahya-altuntas/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-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/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Plant tissue culture and regeneration](https://scholariq.org/topics/plant-tissue-culture-and-regeneration/)

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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.