# Peanut leaf spot disease identification using pre-trained deep convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/peanut-leaf-spot-disease-identification-using-pre-trained-deep-convolutional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Urbano B. Patayon,Renato V. Crisostomo |
| Citations | 30 |
| DOI | 10.11591/ijece.v12i3.pp3005-3012 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ijece.iaescore.com/index.php/IJECE/article/download/24919/15686 |
| OpenAlex ID | https://openalex.org/W4221023507 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Urbano B. Patayon](https://scholariq.org/researchers/urbano-b-patayon/)
- [Renato V. Crisostomo](https://scholariq.org/researchers/renato-v-crisostomo/)

## 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/)
- [Coconut Research and Applications](https://scholariq.org/topics/coconut-research-and-applications/)

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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.