Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans

This study tested whether machine learning (ML) methods can effectively separate individual plants from complex 3D canopy laser scans as a prerequisite to analyzing particular plant features. For this, we scanned mung bean and chickpea crops with PlantEye (R) laser scanners. Firstly, we segmented th...

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Detalles Bibliográficos
Autores principales: Kartal, Serkan, Choudhary, Sunita, Masner, Jan, Kholová, Jana, Stočes, Michal, Gattu, Priyanka, Schwartz, Stefan, Kissel, Ewaut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659963/
https://www.ncbi.nlm.nih.gov/pubmed/34884027
http://dx.doi.org/10.3390/s21238022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659963/
https://www.ncbi.nlm.nih.gov/pubmed/34884027
http://dx.doi.org/10.3390/s21238022

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