Radiation frost happens frequently in the Yangtze River Delta region, which causes high
economic loss in agriculture industry. It occurs because of heat losses from the atmosphere …

When frost occurs, crops are directly damaged. When crops come into contact with low
temperatures, tissues freeze, which hardens and destroys the cell membranes or …

This study aims to design an early warning system based on machine learning for short-term
prediction of nocturnal frosts in Kurdistan Province in the west of Iran. Four models of …

To effectively protect plants from frost damage, an early alarm of frost can be helpful for
growers. Frost is a localized phenomenon and can be quite variable across a small area, so …

In this study, a model to classify frost occurrence and frost free day was developed using the
digital weather forecast data provided by Korea Meteorological Administration (KMA). The …

Regional accuracy was examined using extreme gradient boosting (XGBoost) to improve
frost prediction accuracy, and accuracy differences by region were found. When the points …

In this study, to estimate the occurrence of frost that has a negative effect on th growth of
crops, we constructed to the statistical model. We factored such various meteorological …

This paper aims to reveal the appropriate amount of training data for accurately and quickly
building a support vector regression (SVR) model for micrometeorological data prediction …

This paper proposes a new methodology, Sliding Window-based Support Vector
Regression (SW-SVR), for micrometeorological data prediction. SVR is derived from a …

Support Vector Machine (SVM) is an intellectual learning method based on the statistics
theory. The SVM can solve problems of complicated non linear pattern recognition of …