Predicting Maize Theoretical Methane Yield in Combination with Ground and UAV Remote Data Using Machine Learning

The accurate, timely, and non-destructive estimation of maize total-above ground biomass (TAB) and theoretical biochemical methane potential (TBMP) under different phenological stages is a substantial part of agricultural remote sensing. The assimilation of UAV and machine learning (ML) data may be...

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Detalles Bibliográficos
Autores principales: Kavaliauskas, Ardas, Žydelis, Renaldas, Castaldi, Fabio, Auškalnienė, Ona, Povilaitis, Virmantas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181051/
https://www.ncbi.nlm.nih.gov/pubmed/37176880
http://dx.doi.org/10.3390/plants12091823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181051/
https://www.ncbi.nlm.nih.gov/pubmed/37176880
http://dx.doi.org/10.3390/plants12091823

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