Frost prediction using machine learning and deep neural network models

Frost prediction using machine learning and deep neural network models

This study describes accurate, computationally efficient models that can be implemented for practical use in predicting frost events for point-scale agricultural applications. Frost damage in agriculture is a costly burden to farmers and global food security alike. Timely prediction of frost events...

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Bibliographic Details
Main Authors: Carl J. Talsma, Kurt C. Solander, Maruti K. Mudunuru, Brandon Crawford, Michelle R. Powell
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Artificial Intelligence
Subjects:
frost damage
machine learning
neural networks
random forests
temperature prediction
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.963781/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.963781/full

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