Forecasting of Grain Pile Temperature From Meteorological Factors Using Machine Learning

Forecasting of Grain Pile Temperature From Meteorological Factors Using Machine Learning

Food storage security is critical to the national economy and people's lives. The environmental parameters of a granary should be accurately monitored in order to provide a better preservation environment for food storage. In this paper, we use temperature sensors to measure and collect grain t...

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Bibliographic Details
Main Authors: Shanshan Duan, Weidong Yang, Xuyu Wang, Shiwen Mao, Yuan Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Food storage
temperature sensors
meteorological metrics
support vector regression
adaptive boosting
machine learning
Online Access:https://ieeexplore.ieee.org/document/8832145/

Internet

https://ieeexplore.ieee.org/document/8832145/

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