Using boosted tree regression and artificial neural networks to forecast upland rice yield under climate change in Sahel.
Lei ZhangSeydou TraoreJiankun GeYanbin LiShunsheng WangGe ZhuYuanlai CuiGuy FippsPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- climate change
- artificial neural networks
- generalized regression neural network
- global climate change
- climate data
- remote sensing
- neural network
- computational intelligence
- bp neural network
- fossil fuels
- greenhouse gases
- land cover
- support vector regression
- short term
- change detection
- data collection
- data analysis
- machine learning
- real time