# Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/crop-conditional-convolutional-neural-networks-for-massive-multi-crop-plant/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Artzai Picón,Maximiliam Seitz,Aitor Álvarez-Gila,Patrick Mohnke,Amaia Ortiz‐Barredo,Jone Echazarra |
| Citations | 220 |
| DOI | 10.1016/j.compag.2019.105093 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/11556/904 |
| OpenAlex ID | https://openalex.org/W2989613844 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Artzai Picón](https://scholariq.org/researchers/artzai-picon/)
- [Aitor Álvarez-Gila](https://scholariq.org/researchers/aitor-alvarez-gila/)

## 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 Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)

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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.