High-throughput phenotyping techniques for forage:Status,bottleneck,and challenges

作     者：Tao Cheng Dongyan Zhang Gan Zhang Tianyi Wang Weibo Ren Feng Yuan Yaling Liu Zhaoming Wang Chunjiang Zhao 

作者机构：College of Mechanical and Electronic EngineeringNorthwest A&F UniversityYangling 712100China National Center of Pratacultural Technology Innovation(under preparation)Hohhot 010000China College of EngineeringChina Agricultural UniversityBeijing 100083China School of Ecology and EnvironmentInner Mongolia UniversityHohhot 010021China Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China 

出 版 物：《Artificial Intelligence in Agriculture》 (农业人工智能(英文))

年 卷 期：2025年第15卷第1期

页      面：98-115页

核心收录：

学科分类：090503[农学-草业科学] 0909[农学-草学] 0905[农学-畜牧学] 09[农学] 

基　　金：supported by the 2023 Inner Mongolia Autonomous Region“Unveiling and Hanging”Project[grant number 2023JBGS0008] the 2023 Hohhot to introduce high-level innovative and entrepreneurial talents(team)[grant number 2023RC-High Level7] 

主　　题：Forage High-throughput phenotyping Precision identification Sensors Artificial intelligence Efficient breeding 

摘      要：High-throughput phenotyping(HTP)technology is now a significant bottleneck in the efficient selection and breeding of superior forage genetic *** better understand the status of forage phenotyping research and identify key directions for development,this review summarizes advances in HTP technology for forage phenotypic analysis over the past ten *** paper reviews the unique aspects and research priorities in forage phenotypic monitoring,highlights key remote sensing platforms,examines the applications of advanced sensing technology for quantifying phenotypic traits,explores artificial intelligence(AI)algorithms in phenotypic data integration and analysis,and assesses recent progress in phenotypic *** practical applications of HTP technology in forage remain constrained by several *** include establishing uniform data collection standards,designing effective algorithms to handle complex genetic and environmental interactions,deepening the cross-exploration of phenomics-genomics,solving the problem of pathological inversion of forage phenotypic growth monitoring models,and developing low-cost forage phenotypic *** these challenges will unlock the full potential of HTP,enabling precise identification of superior forage traits,accelerating the breeding of superior varieties,and ultimately improving forage yield.