A Prediction Method of Seedling Transplanting Time with DCNN-LSTM Based on the Attention Mechanism

A Prediction Method of Seedling Transplanting Time with DCNN-LSTM Based on the Attention Mechanism

To improve the production efficiency and reduce the labor cost of seedling operations, cabbage was selected as the research subject, and a novel approach based on the attention mechanism combining the deep convolutional neural network (DCNN) and long short-term memory (LSTM) is proposed. First, the...

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Bibliographic Details
Main Authors: Huaji Zhu, Chang Liu, Huarui Wu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Agronomy
Subjects:
transplanting time
prediction model
deep convolutional neural network
long and short-term memory network
attention mechanism
Online Access:https://www.mdpi.com/2073-4395/12/7/1504

Internet

https://www.mdpi.com/2073-4395/12/7/1504

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