# Detection and analysis of wheat spikes using Convolutional Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-and-analysis-of-wheat-spikes-using-convolutional-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Md. Mehedi Hasan,Joshua Chopin,Hamid Laga,Stanley J. Miklavcic |
| Citations | 278 |
| DOI | 10.1186/s13007-018-0366-8 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-018-0366-8.pdf |
| OpenAlex ID | https://openalex.org/W2901871634 |
| PMID | 30459822 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Hamid Laga](https://scholariq.org/researchers/hamid-laga/)

## Paper journal

- [Plant Methods](https://scholariq.org/journals/plant-methods/)

## 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/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)

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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.