Prediction of crop growth environmental data using LSTM

Prediction of crop growth environmental data using LSTM

Traditional greenhouse crop growth monitoring system has the disadvantages of poor control flexibility and low accuracy. To address these issues, this paper focuses on developing a closed-loop crop growth monitoring system for purpose of smart agriculture and employing the univariate long short-term...

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Bibliographic Details
Main Authors: WU Chao, ZHOU Zijing, HUANG Jinhua, XU Xiaoyin, QIU Hong, PENG Yeping
Format: Article
Language:English
Published: Science Press (China Science Publishing & Media Ltd.) 2024-09-01
Series:Shenzhen Daxue xuebao. Ligong ban
Subjects:
artificial intelligence
monitoring system
prediction model
environmental data
long short-term memory network
time series
smart agriculture
Online Access:https://journal.szu.edu.cn/en/#/digest?ArticleID=2669
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