Using a Hybrid Neural Network Model DCNN–LSTM for Image-Based Nitrogen Nutrition Diagnosis in Muskmelon

Using a Hybrid Neural Network Model DCNN–LSTM for Image-Based Nitrogen Nutrition Diagnosis in Muskmelon

In precision agriculture, the nitrogen level is significantly important for establishing phenotype, quality and yield of crops. It cannot be achieved in the future without appropriate nitrogen fertilizer application. Moreover, a convenient and real-time advance technology for nitrogen nutrition diag...

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Autores principales: Liying Chang, Daren Li, Muhammad Khalid Hameed, Yilu Yin, Danfeng Huang, Qingliang Niu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
machine learning
deep learning
convolution neural network (CNN)
long-short term memory (LSTM)
deep convolution neural network (DCNN)
nitrogen nutrition diagnosis
Plant culture
SB1-1110
Acceso en línea:https://doaj.org/article/6cf92179863b477e842ff9ec229ec050
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