# Artificial neural networks for automated year-round temperature prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-neural-networks-for-automated-year-round-temperature-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Brian A. Smith,Gerrit Hoogenboom,R. W. McClendon |
| Citations | 125 |
| DOI | 10.1016/j.compag.2009.04.003 |
| Fields | Agricultural and Biological Sciences,Earth and Planetary Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2054459031 |
| Type | article |
| Year | 2009 |

## Paper authors

- [Brian A. Smith](https://scholariq.org/researchers/brian-a-smith/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-agriculture/)

## Paper primary topic

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

## Paper topics

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Meteorological Phenomena and Simulations](https://scholariq.org/topics/meteorological-phenomena-and-simulations/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)

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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.