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DroneData: a repository for applying drone-based-data to crop characterization

This tool is available on GitHub. The users can calculate vegetation indexes, apply different trained ML models for crop-field or individual-plants detection. Likewise, when a 3D-cloud-points-file is provided, the user can estimate plant-height and leaf-angle. The tool is used by the Universidad-Ped...

Full description

Main Author: CGIAR Research Program on Climate Change, Agriculture and Food Security
Format: Informe técnico
Language:Inglés
Published: 2021
Subjects:
models
development
rural development
data
plants
vegetation
estimation
systems
agrifood systems
height
detection
plant
Online Access:https://hdl.handle.net/10568/123118
Summary:This tool is available on GitHub. The users can calculate vegetation indexes, apply different trained ML models for crop-field or individual-plants detection. Likewise, when a 3D-cloud-points-file is provided, the user can estimate plant-height and leaf-angle. The tool is used by the Universidad-Pedagógica-y-tecnológica and Tokyo-university, for crop area estimation and high-detailed-plant-phenotyping-characterization.

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