# A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparison-of-machine-learning-algorithms-for-regional-wheat-yield-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Michiel Stas,Jos Van Orshoven,Qinghan Dong,Stien Heremans,Beier Zhang |
| Citations | 37 |
| DOI | 10.1109/agro-geoinformatics.2016.7577625 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2524440055 |
| Type | conference-paper |
| Year | 2016 |

## Paper authors

- [Qinghan Dong](https://scholariq.org/researchers/qinghan-dong/)

## Paper primary topic

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Paper topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.