Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms.
Dae-Seong LeeWon Il ChoiYoungwoo NamYoung-Seuk ParkPublished in: Ecol. Informatics (2021)
Keyphrases
- machine learning algorithms
- environmental factors
- south korea
- benchmark data sets
- learning algorithm
- decision trees
- machine learning methods
- machine learning
- predictive accuracy
- environmental conditions
- learning tasks
- learning problems
- united states
- random forests
- machine learning approaches
- public sector
- machine learning models
- statistical machine learning
- machine learning systems
- standard machine learning algorithms
- environmental variables