# Novel Approach in Vegetation Detection Using Multi-Scale Convolutional Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/novel-approach-in-vegetation-detection-using-multi-scale-convolutional-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fatema A. Albalooshi |
| Citations | 10 |
| DOI | 10.3390/app142210287 |
| Fields | Agricultural and Biological Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2076-3417/14/22/10287/pdf?version=1731067283 |
| OpenAlex ID | https://openalex.org/W4404283256 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Fatema A. Albalooshi](https://scholariq.org/researchers/fatema-a-albalooshi/)

## Paper journal

- [Applied Sciences](https://scholariq.org/journals/applied-sciences/)

## 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 in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

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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.