# Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-modelling-for-non-invasive-grape-bunch-detection-under-diverse/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rubén Íñiguez,Salvador Gutiérrez,Carlos Poblete-Echeverría,Inés Hernández,Ignacio Barrio,Javier Tardáguila |
| Citations | 10 |
| DOI | 10.1016/j.compag.2024.109421 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.compag.2024.109421 |
| OpenAlex ID | https://openalex.org/W4402289719 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Rubén Íñiguez](https://scholariq.org/researchers/ruben-iniguez/)
- [Ignacio Barrio](https://scholariq.org/researchers/ignacio-barrio/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

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