Machine Learning for olive phenology prediction and base temperature optimisation.
Noelia OsesIzar AzpirozMarco QuartulliIgor G. OlaizolaSusanna MarchiDiego GuidottiPublished in: GIoTS (2020)
Keyphrases
- machine learning
- prediction accuracy
- recursive neural networks
- computer vision
- air temperature
- pattern recognition
- decision trees
- prediction error
- predictive modeling
- data analysis
- relative humidity
- genetic algorithm
- machine learning methods
- inductive logic programming
- machine learning algorithms
- prediction model
- learning tasks
- knowledge acquisition
- prediction algorithm
- learning algorithm
- data mining
- cellular automata model
- meteorological data
- neural network
- computational intelligence
- natural language processing
- knowledge representation
- active learning
- data sets
- learning systems
- semi supervised learning
- model selection
- solar radiation
- feature selection
- information retrieval