Can a combination of uav-derived vegetation indices with biophysical variables improve yield variability assessment in smallholder farms?

HIGHLIGHTS

  • who: Julius Adewopo et al. from the International Institute of Tropical Agriculture (IITA), PMB, Oyo Road, Ibadan, Nigeria have published the research: Can a Combination of UAV-Derived Vegetation Indices with Biophysical Variables Improve Yield Variability Assessment in Smallholder Farms?, in the Journal: (JOURNAL)
  • what: This study provides further insight into the potential use of UAV-derived vegetational indices to assess yield variability for rapid agronomic monitoring and robust decision-support in smallholder farming systems.
  • how: The random split of each dataset was implemented at the Farm (i.e. field) level for independence . . .

     

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