Can drone images predict within-field variability in soil fertility? A case study in the Northern Region of Ghana

Can drone images predict within-field variability in soil fertility? A case study in the Northern Region of Ghana

BackgroundSoil fertility varies within fields of smallholder farmers in Africa. Drone-based field mapping may quantify this within-field variability with high resolution. This study analyzed if variation in spectral vegetation indices from early season weed cover could offer criteria to quickly asse...

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Bibliographic Details
Main Authors: Yussif Baba Kassim, Francisco Pinto, Dilys S. MacCarthy, Prem Bindraban, Ngonidzashe Chirinda, TjeerdJan Stomph, Paul C. Struik
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Soil Science
Subjects:
soil organic matter
yield variability
smallholder farmers
maize
soybean
spectral vegetation indices
Online Access:https://www.frontiersin.org/articles/10.3389/fsoil.2025.1548645/full
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https://www.frontiersin.org/articles/10.3389/fsoil.2025.1548645/full

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