Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning.
Ziheng FengHanwen GuanTiancong YangLi HeJianzhao DuanLi SongChenyang WangWei FengPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- machine learning
- machine learning methods
- decision trees
- natural language processing
- text mining
- pattern recognition
- computer science
- data analysis
- data mining
- metadata
- web content
- computer vision
- information content
- multimedia content
- model selection
- carbon dioxide
- content management
- estimation process
- user generated content
- correlation coefficient
- learning algorithm
- computational intelligence
- support vector machine
- knowledge discovery
- reinforcement learning