Integrating UAV multispectral imaging and proximal sensing for high-precision cereal crop monitoring.

ABSTRACT: Multispectral optical data significantly enhances cereal crop monitoring by enabling precise tracking of growth stages, early detection of germination issues, and assessment of plant health. This study evaluates the potential of integrating UAV multispectral sensor with the handheld Plant-O-Meter device for high-precision crop monitoring. The aim was to determine the optimal UAV imaging timing that aligns with proximal sensor measurements to improve growth stage assessments. Experiments were conducted on 41 cereal genotypes, including ancient and modern varieties, under two nitrogen top-dress dosages across 130 plots. The top ten performing genotypes were analyzed to identify resilient varieties adaptable to climate change and evolving field conditions. Our results demonstrate that vegetat

SUBMITTER: Grbovic Z 

PROVIDER: S-EPMC12097617 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature