High-throughput phenotyping using unmanned aerial vehicle (UAV) for agronomic traits in Dioscorea rotundata

UAV and remote sensors have been considered technological tools with high potential to improve smart and precision agriculture and research. Image data further processed using Agisoft Metashape Professional; a powerful Photogrammetry software for processing of raster datasets was used to stitch the overlapping five bands of images into: Orthomosaic (RGB) map Normalized Difference Vegetation Index (NDVI) map
Normalized Difference RedEdge (NDRE) map

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Data and Resources

High-throughput phenotyping ... [Dataset is under embargo] tiff
This dataset is under embargo and will be available after the embargo end...

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Additional Info

Field	Value
Creator	Paliwal, Rajneesh
Creator Affiliation	International Institute of Tropical Agriculture (IITA)
Creator email	r.paliwal@cgiar.org
Creator ID Type	ORCID
Creator ID	0000-0001-6493-3289
Subject Vocab (AGROVOC/GACS/CAB)	Yam,Food security,Sub-Saharan Africa,Unmanned Aerial Vehicles,Photogrammetry,Remote sensors,Vegetation index
Subject(s)	Orthomosaic map,Normalized Difference Vegetation Index map,Normalized Difference RedEdge map
Publisher	International Institute of Tropical Agriculture (IITA)
Contributor Person 1	Michael Abberton
Contributor Person 1 Affiliation	International Institute of Tropical Agriculture (IITA)
Contributor Person 1 email	m.abberton@cgiar.org
Contributor Person 2	Morufat Balogun
Contributor Person 2 Affiliation	International Institute of Tropical Agriculture (IITA)
Contributor Person 2 email	m.balogun@cgiar.org
Contributor Person 3	Faloye Benjamin
Contributor Person 3 Affiliation	International Institute of Tropical Agriculture (IITA)
Contributor Person 3 email	B.Faloye@cgiar.org
Contributor Person 4	David Udoh
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Contributor Project Lead Organisation Center	International Institute of Tropical Agriculture (IITA)
Contributor Project Lead Center	International Institute of Tropical Agriculture (IITA)
Contributor Initiative/CRP	Non-CRP
Contributor Partner	Not applicable
Contributor Donor	Crop Trust
Contributor Project	High-throughput phenotyping using unmanned aerial vehicle (UAV) for agronomic traits in Dioscorea rotundata
Project ID	Not applicable
Contributor Affiliation	International Institute of Tropical Agriculture (IITA)
Open-Access status	Open Access
Production Date	2022-09-09
Embargo End Date	2023-12-31
Content Type	Dataset
File Format	tiff
Identifier Type	DOI
Identifier	https://doi.org/10.25502/cbw3-p632/d
Identifier Citation
Source	High-throughput phenotyping using unmanned aerial vehicle (UAV) for agronomic traits in Dioscorea rotundata
Language	English
Relation	Not applicable
Agroecological Zone	Subhumid warm tropics
Coverage Region	Western Africa
Coverage country	Nigeria
Coverage Admin Unit	Not applicable
Coverage Y (Latitude)	7.37775
Coverage X (Longitude)	3.89725
Coverage Start Date	2022-09-30
Coverage End Date	2022-09-30
Contact	Paliwal, Rajneesh; Postdoctoral Fellow – Cassava DNA Fingerprinting for Genetic Resources Management; International Institute of Tropical Agriculture (IITA)
Contact Email	R.Paliwal@cgiar.org
Restriction	CC-BY 4.0
Email Permission	None
Rights	CC-BY 4.0