# Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fruit-detection-yield-prediction-and-canopy-geometric-characterization-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jordi Gené-Mola,Eduard Gregorio,Fernando Auat Cheein,Javier Guevara,Jordi Llorens,Ricardo Sanz,Alexandre Escolà,Joan R. Rosell-Polo |
| Citations | 102 |
| DOI | 10.1016/j.compag.2019.105121 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2990730571 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Fernando Auat Cheein](https://scholariq.org/researchers/fernando-auat-cheein/)

## 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/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Plant Surface Properties and Treatments](https://scholariq.org/topics/plant-surface-properties-and-treatments/)

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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.