OrchardQuant-3D: combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards.

ABSTRACT: Orchard fruits such as pear and apple are important for ensuring global food security and agricultural economy as they not only provide essential nutrients, but also support biodiversity and ecosystem services. Breeders, growers and plant researchers constantly study desirable tree morphological features and floral characteristics to ensure fruit production and quality. Still, traditional orchard phenotyping is often laborious, limited in scale and prone-to-error, resulting in many attempts to develop reliable and scalable toolkits to address this challenge. Here, we present OrchardQuant-3D, an analytic pipeline for automating tree-level analysis of key canopy and floral traits for different types of fruit orchards. We first built a data fusion algorithm to register 3D point clouds collect

SUBMITTER: Xia Y 

PROVIDER: S-EPMC12576445 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature