Can a Combination of UAV-Derived Vegetation Indices with Biophysical Variables Improve Yield Variability Assessment in Smallholder Farms?

Can a Combination of UAV-Derived Vegetation Indices with Biophysical Variables Improve Yield Variability Assessment in Smallholder Farms?

The rapid assessment of maize yields in a smallholder farming system is important for understanding its spatial and temporal variability and for timely agronomic decision-support. We assessed the predictability of maize grain yield using unmanned aerial/air vehicle (UAV)-derived vegetation indices (...

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Bibliographic Details
Main Authors: Julius Adewopo, Helen Peter, Ibrahim Mohammed, Alpha Kamara, Peter Craufurd, Bernard Vanlauwe
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Agronomy
Subjects:
multispectral imageries
multilocational
maize
drones
in-season
trials
Online Access:https://www.mdpi.com/2073-4395/10/12/1934

Internet

https://www.mdpi.com/2073-4395/10/12/1934

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