Machine learning and fluorosensing for estimation of maize nitrogen status at early growth-stages.
Dipankar MandalRafael SiqueiraLouis LongchampsRaj KhoslaPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- machine learning
- multistage
- pattern recognition
- monte carlo simulation
- machine learning algorithms
- estimation accuracy
- learning algorithm
- artificial intelligence
- statistical methods
- maximum likelihood estimation
- machine learning approaches
- machine learning methods
- learning problems
- estimation algorithm
- information extraction
- explanation based learning
- accurate estimation
- supervised machine learning
- knowledge acquisition
- text mining
- data sets
- active learning
- expert systems
- computer vision
- genetic algorithm
- data mining
- model selection
- knowledge discovery
- optical flow
- training set
- data analysis
- computer science
- decision trees