Gated recurrent unit models outperform other Machine learning models in prediction of minimum temperature in greenhouse Based on local weather data-Reference-Cited by-同舟云学术

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Gated recurrent unit models outperform other Machine learning models in prediction of minimum temperature in greenhouse Based on local weather data

Published:2022-11 Issue: Volume:202 Page:107416
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

He Zhihao,Jiang Tengcong,Jiang Yuan,Luo Qi,Chen Shang,Gong Kaiyuan,He Liang,Feng Hao,Yu Qiang,Tan Fangying,He Jianqiang

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference45 articles.

1. A decision support system based on multisensor data fusion for sustainable greenhouse management;Aiello;J. Cleaner Prod.,2018

2. Machine learning algorithms to assess the thermal behavior of a Moroccan agriculture greenhouse;Allouhi;Cleaner Eng. Technol.,2021

3. Daily means ambient temperature prediction using artificial neural network method: a case study of Turkey;Altan Dombaycı;Renew. Energy,2009

4. Parametric and numerical study of a solar system for heating a greenhouse equipped with a buried exchanger;Attar;Energy Conversion And Manage.,2013

5. Experimental study of an air conditioning system to control a greenhouse microclimate;Attar;Energy Conversion And Manage.,2014

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3. A variable weight combination prediction model for climate in a greenhouse based on BiGRU-Attention and LightGBM;Computers and Electronics in Agriculture;2024-04

4. Prediction of body composition in growing-finishing pigs using ultrasound based back-fat depth approach and machine learning algorithms;Computers and Electronics in Agriculture;2023-10

5. Deep Learning Models Outperform Generalized Machine Learning Models in Predicting Winter Wheat Yield Based on Multispectral Data from Drones;Drones;2023-08-02

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