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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |