Machine Learning Approach to Predict Air Temperature and Relative Humidity inside Mechanically and Naturally Ventilated Duck Houses: Application of Recurrent Neural Network
The duck industry ranks sixth as one of the fastest-growing major industries for livestock production in South Korea. However, there are few studies quantitatively predicting the internal thermal and moisture environment of duck houses. In this study, high-accuracy recurrent neural network (RNN) mod...
Main Authors: | Sang-yeon Lee, In-bok Lee, Uk-hyeon Yeo, Jun-gyu Kim, Rack-woo Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/12/3/318 |
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