Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics.

ABSTRACT:

Introduction

Remote sensing using unmanned aerial systems (UAS) are prevalent for phenomics and precision agricultural applications. The high-resolution data for these applications can provide useful spectral characteristics of crops associated with performance traits such as seed yield. With the recent availability of high-resolution satellite imagery, there has been growing interest in using this technology for plot-scale remote sensing applications, particularly those related to breeding programs. This study compared the features extracted from high-resolution satellite and UAS multispectral imagery (visible and near-infrared) to predict the seed yield from two diverse plot-scale field pea yield trials (advanced breeding and variety testing) using the random forest model.

Met

SUBMITTER: Marzougui A 

PROVIDER: S-EPMC10161932 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature