华南农业大学学报2026，Vol.47Issue(4)：535-547,13.DOI:10.7671/j.issn.1001-411X.202604011
作物表型多源多尺度智能感知技术与装备研究进展
Research progress in multi-source and multi-scale intelligent sensing technology and equipment for crop phenotyping
摘要
Abstract
Crop phenotyping serves as a fundamental basis for crop breeding,precision cultivation,and smart agriculture.In recent years,it has evolved toward multi-modal integration and multi-scale coordination.This paper analysed indoor and outdoor phenotyping platforms across diverse application scenarios,and reviewed sensing technologies including RGB imaging,multi-spectral imaging,hyperspectral imaging,thermal imaging,fluorescence imaging,LiDAR,and nuclear magnetic resonance(NMR).The applications of these technologies were summarized in capturing crop morphological traits,physiological status and biochemical components.The phenotyping acquisition methods and intelligent analytical techniques were also analyzed at different scales such as plant cells,tissues and organs,individual plants,population plot and field.Additionally,the advancements were explored in high-throughput phenotyping technologies and their integration with crop gene function analysis,providing a reference for future phenotyping research.关键词
作物表型/多源感知/多尺度感知/智能装备/数据融合/智慧农业Key words
Crop phenotyping/Multi-source sensing/Multi-scale sensing/Intelligent equipment/Data fusion/Smart agriculture分类
农业科技引用本文复制引用
何勇,蔡家一,陶祎敏,冯旭萍..作物表型多源多尺度智能感知技术与装备研究进展[J].华南农业大学学报,2026,47(4):535-547,13.基金项目
国家自然科学基金(32572180) （32572180）
山东省重点研发计划(2023CXGC010701) （2023CXGC010701）
