A Prediction Model for Hallabong Tangor Product Prices using LSTM (Long Short-term Memory) Network-Reference-Cited by-同舟云学术

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A Prediction Model for Hallabong Tangor Product Prices using LSTM (Long Short-term Memory) Network

Published:2022-10-31 Issue:5 Volume:40 Page:571-577
ISSN:1226-8763
Container-title:Horticultural Science and Technology
language:en
Short-container-title:HST

Author:

Jung Dae Ho¹,Cho Young-Yeol²

Affiliation:

1. Division of Smart Horticulture, Yonam College, Cheonan 31005, Korea

2. Horticultural Science Major, Jeju National University, Jeju 63243, Korea

Publisher

Korean Society of Horticultural Science

Subject

Horticulture,Horticulture

Link

https://www.hst-j.org/articles/pdf/doi/10.7235/HORT.20220051.pdf

Reference11 articles.

1. Long term and short term forecasting of horticultural produce based on the LSTM network model

2. Long Short-Term Memory

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Fruit Maturity of ‘Mihwang’ Peach using Deep Learning;Horticultural Science and Technology;2024-02-28

2. Agricultural commodity futures prices prediction based on a new hybrid forecasting model combining quadratic decomposition technology and LSTM model;Frontiers in Sustainable Food Systems;2024-02-19

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