# Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/grapevine-yield-and-leaf-area-estimation-using-supervised-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | María P. Diago,Christian Correa Farías,Borja Millán,Pilar Barreiro Elorza,Constantino Valero Ubierna,Javier Tardáguila |
| Citations | 136 |
| DOI | 10.3390/s121216988 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/12/12/16988/pdf?version=1403320783 |
| OpenAlex ID | https://openalex.org/W2145792835 |
| PMID | 23235443 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Javier Tardáguila](https://scholariq.org/researchers/javier-tardaguila/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Horticultural and Viticultural Research](https://scholariq.org/topics/horticultural-and-viticultural-research/)

## Paper topics

- [Horticultural and Viticultural Research](https://scholariq.org/topics/horticultural-and-viticultural-research/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.