HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of China.
Yingqiang SongDexi ZhanZhenxin HeWenhui LiWenxu DuanZhongkang YangMiao LuPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- machine learning
- prediction accuracy
- mobile robot
- spatial distribution
- geographic information systems
- real time
- natural language processing
- variable selection
- learning systems
- dynamic environments
- information extraction
- pattern recognition
- knowledge discovery
- active learning
- text classification
- spatio temporal
- machine learning algorithms
- computer science
- spatial information
- machine learning methods
- reinforcement learning
- decision trees
- computer vision
- developed countries