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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