# Automatic Identification of Abaca Bunchy Top Disease using Deep Learning Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-identification-of-abaca-bunchy-top-disease-using-deep-learning-models/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Urbano B. Patayon,Renato V. Crisostomo |
| Citations | 24 |
| DOI | 10.1016/j.procs.2021.01.012 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050921000132/pdf |
| OpenAlex ID | https://openalex.org/W3132030424 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

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

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.