A Time Series Data Filling Method Based on LSTM—Taking the Stem Moisture as an Example

In order to solve the problem of data loss in sensor data collection, this paper took the stem moisture data of plants as the object, and compared the filling value of missing data in the same data segment with different data filling methods to verify the validity and accuracy of the stem water fill...

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Detalles Bibliográficos
Autores principales: Song, Wei, Gao, Chao, Zhao, Yue, Zhao, Yandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571071/
https://www.ncbi.nlm.nih.gov/pubmed/32899485
http://dx.doi.org/10.3390/s20185045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571071/
https://www.ncbi.nlm.nih.gov/pubmed/32899485
http://dx.doi.org/10.3390/s20185045

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