Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning.

ABSTRACT: Soybean is sensitive to flooding stress that may result in poor seed quality and significant yield reduction. Soybean production under flooding could be sustained by developing flood-tolerant cultivars through breeding programs. Conventionally, soybean tolerance to flooding in field conditions is evaluated by visually rating the shoot injury/damage due to flooding stress, which is labor-intensive and subjective to human error. Recent developments of field high-throughput phenotyping technology have shown great potential in measuring crop traits and detecting crop responses to abiotic and biotic stresses. The goal of this study was to investigate the potential in estimating flood-induced soybean injuries using UAV-based image features collected at different flight heights. The flooding inju

SUBMITTER: Zhou J 

PROVIDER: S-EPMC8261669 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature