Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse

Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse

Smart agricultural greenhouses provide well-controlled conditions for crop cultivation but require accurate prediction of environmental factors to ensure ideal crop growth and management efficiency. Due to the limitations of existing predictors in dealing with massive, nonlinear, and dynamic tempora...

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Bibliographic Details
Main Authors: Xue-Bo Jin, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Min Zuo, Qing-Chuan Zhang, Seng Lin
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Agriculture
Subjects:
intelligent agricultural greenhouse
environmental factor prediction
deep-learning encoder–decoder
self-attention mechanism
Internet of Things
Online Access:https://www.mdpi.com/2077-0472/11/8/802

Internet

https://www.mdpi.com/2077-0472/11/8/802

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