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

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