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Frost Forecasting System with Multiple Models of Machine Learning
Abstract
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Frost causes damage to crops. Predicting the frost occurrence in advance is highly valuable for practitioners taking possible frost-prevention measures. In our previous study, we have applied machine learning to forecast frost occurrence using two methods. To better support user with a potential trend of frost occurrence in a future period, we propose an integrated system of frost forecast taking the advantages of the two methods.
Record information
- Authors
- Shugo Yoshida; Liya Ding; Kosuke Noborio; Kazuki Shibuya
- Publisher
- IOS Press
- Publication
- Frontiers in Artificial Intelligence and Applications
- DOI
- 10.3233/faia220433