蔬菜Issue(5)：1-12,12.DOI:10.26924/j.cnki.sczz.2026.5001
植物体征数字化获取技术及其在设施蔬菜精准管理中的应用
Digital Acquisition of Plant Phenotypic Traits and Its Applications in Precision Management of Protected Vegetable Production
摘要
Abstract
With the continuous advancement of smart agriculture and the digital transformation of protected vegetable production,digital acquisition of plant phenotypic traits has evolved from individual sensing techniques into a core technological foundation supporting precision management.At its core,this approach leverages multidimensional sensing and information processing technologies to achieve non-destructive,continuous and quantifiable characterization of plant morphological structure,physiological status,functional activity and stress responses.Grounded in the precise sensing requirements of protected vegetable production,this review systematically outlines the sensing architectures,signal mechanisms and representative characterization technologies.It summarizes the latest advances in water management,nutrient diagnosis,pest and disease early warning,growth monitoring and quality evaluation.Particular emphasis is placed on integrated application models,such as autonomous regulation in intelligent greenhouses for tomato production,along with their significant yield and efficiency benefits.The analysis demonstrates that digital plant phenotyping is driving a paradigm shift in protected vegetable production from traditional environment-parameter-dependent management toward a precision management model centered on crop feedback.Nevertheless,practical constraints remain in data standardization,engineering adaptability and closed-loop execution.Future efforts should focus on multimodal fusion representation,low-cost edge deployment,mechanism-data dual-driven modeling,and cloud-edge collaborative decision-making to support the transition of protected vegetable production from experience-driven to data-driven practices.关键词
智慧农业/植物体征/数字化获取/设施蔬菜/精准管理/多模态感知Key words
smart agriculture/plant phenotypic trait/digital acquisition/protected vegetable production/precision management/multimodal sensing分类
农业科技引用本文复制引用
王董宇,吕春利..植物体征数字化获取技术及其在设施蔬菜精准管理中的应用[J].蔬菜,2026,(5):1-12,12.基金项目
科技部重点专项(2023YFD2000604) （2023YFD2000604）
现代农业产业技术体系北京市创新团队岗位科学家项目(BAIC10-2025-E05). （BAIC10-2025-E05）
