2024
DOI: 10.1007/s11119-024-10162-9
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On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system

Kushal KC,
Matthew Romanko,
Andrew Perrault
et al.

Abstract: This study assesses the potential of using multispectral images collected by an unmanned aerial system (UAS) on machine learning (ML) frameworks to estimate cereal rye (Secale cereal L.) biomass. Multispectral images and ground-truth cereal rye biomass data were collected from 15 farmers’ fields up to three times between March and May in northwest Ohio. Images were processed to derive 13 vegetation indices (VIs). Out of 13 VIs, six optimal sets of VIs, including excess green (ExG), normalized green red differe… Show more

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