L.) based on continuous measurements of leaf-turgor pressure using machine learning and IoT.
José A. BarrigaFernando Blanco-CipolloneEmiliano Trigo-CórdobaIván Francisco García-TejeroPedro J. ClementePublished in: Expert Syst. Appl. (2022)
Keyphrases
- machine learning
- management system
- learning tasks
- artificial intelligence
- reinforcement learning
- machine learning algorithms
- knowledge acquisition
- feature selection
- inductive learning
- pattern recognition
- data analysis
- information extraction
- machine learning methods
- big data
- computational intelligence
- databases
- explanation based learning
- machine learning and data mining
- learning algorithm
- data mining
- noisy measurements
- continuous functions
- supervised learning
- learning systems
- cloud computing
- model selection
- text classification
- active learning
- training data
- computer vision
- neural network