Pheno-Robot: An Auto-Digital Modelling System for In-Situ Phenotyping in the Field

• DOI: 10.48550/arxiv.2402.09685
• Publication Date: 2024-02-14
• Authors: Yaoqiang Pan; Kewei Hu; Tianhao Liu; Chao Chen; Hanwen Kang

Accurate reconstruction of plant models for phenotyping analysis is critical optimising sustainable agricultural practices in precision agriculture. Traditional laboratory-based phenotyping, while valuable, falls short understanding how plants grow under uncontrolled conditions. Robotic technologies offer a promising avenue large-scale, direct real-world environments. This study explores the deployment emerging robotics and digital technology to improve performance efficiency. Three functional modules: environmental understanding, robotic motion planning, in-situ are introduced automate entire process. Experimental results demonstrate effectiveness system The pheno-robot autonomously collects high-quality data by navigating around plants. In addition, modelling model reconstructs from collected robot. developed shows high efficiency robustness, demonstrating its potential advance science