# Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-convolutional-neural-networks-for-mobile-capture-device-based-crop-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Artzai Picón,Aitor Álvarez-Gila,Maximiliam Seitz,Amaia Ortiz‐Barredo,Jone Echazarra,Alexander Johannes |
| Citations | 558 |
| DOI | 10.1016/j.compag.2018.04.002 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2799842361 |
| Type | article |
| Year | 2018 |

## 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 Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

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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.