Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa

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Bibtex

@article{6734c6110bf7474cab9056379e1dd339,
title = "Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa",
keywords = "remote sensing, unmanned aerial vehicles, near infrared, green normalized difference vegetation index, maize yields",
author = "Ibrahim Wahab and Ola Hall and Magnus Jirstr{\"o}m",
year = "2018",
doi = "10.3390/drones2030028",
language = "English",
volume = "2",
journal = "Drones",
issn = "2504-446X",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}