Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level.

ABSTRACT:

Background

Precision agriculture is an emerging research field that relies on monitoring and managing field variability in phenotypic traits. An important phenotypic trait is biomass, a comprehensive indicator that can reflect crop yields. However, non-destructive biomass estimation at fine levels is unknown and challenging due to the lack of accurate and high-throughput phenotypic data and algorithms.

Results

In this study, we evaluated the capability of terrestrial light detection and ranging (lidar) data in estimating field maize biomass at the plot, individual plant, leaf group, and individual organ (i.e., individual leaf or stem) levels. The terrestrial lidar data of 59 maize plots with more than 1000 maize plants were collected and used to calculate phenotypes through

SUBMITTER: Jin S 

PROVIDER: S-EPMC7222476 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature