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植物科学与人工智能融合研究进展

郑聪聪 郭晓玉 王楠 高树琴 赵洪龙 蒋浩 张玉成 钟上威 王雷

植物学报2026,Vol.61Issue(4):549-554,6.
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植物学报2026,Vol.61Issue(4):549-554,6.DOI:10.3724/CBB-2026-0139

植物科学与人工智能融合研究进展

Advances in the Integration of Plant Science and Artificial Intelligence

郑聪聪 1郭晓玉 2王楠 3高树琴 1赵洪龙 1蒋浩 1张玉成 1钟上威 4王雷2

作者信息

  • 1. 中国科学院计算技术研究所,北京 100190
  • 2. 中国科学院植物研究所,饲草种质高效设计与利用全国重点实验室,北京 100093
  • 3. 中国农业科学院农业基因组研究所,岭南现代农业科学与技术广东省实验室深圳分中心,热带作物生物育种全国重点实验室,农业农村部农业基因数据分析重点实验室,深圳 518124
  • 4. 北京大学生命科学学院,基因功能研究与操控全国重点实验室,北大-清华生命科学联合中心,北京 100871
  • 折叠

摘要

Abstract

Plant science is entering a new era characterized by the rapid accumulation of multi-scale biological data and increasing demands for understanding complex biological systems.Fundamental challenges remain in uncovering the mechanisms of trait formation,deciphering multilayered regulatory networks and environmental adaptive evolution,and intelligent design breeding.Rapid advances in artificial intelligence(AI)are reshaping life science research,driving a transition from traditional experiment-and data-driven research toward a new paradigm in which data,computational models,and biological mechanisms are integrated synergistically.To highlight recent progress at this interdisciplinary frontier,we organized the Special Issue on"Integration of Plant Science and Artificial Intelligence".It gathers 12 contribu-tions spanning theory,methodology,application,and education.The contributions emphasize multi-omics integration,complex trait analysis,AI-assisted phenotyping,and smart agriculture,reflecting current methodological advances and emerging research directions.We anticipate that this Special Issue will foster deeper integration between plant biology and AI,providing a platform to accelerate scientific discovery and contribute to food security and sustainable agriculture.

关键词

植物科学/人工智能/复杂性状/多组学/智能设计育种

Key words

plant science/artificial intelligence/complex traits/multi-omics/intelligent design breeding

引用本文复制引用

郑聪聪,郭晓玉,王楠,高树琴,赵洪龙,蒋浩,张玉成,钟上威,王雷..植物科学与人工智能融合研究进展[J].植物学报,2026,61(4):549-554,6.

基金项目

中国科学院战略性先导科技专项(No.XDA0450203)、中国科学院科研项目、北京市科技新星计划(No.20250484844)、国家自然科学基金(No.32325007)和长春市科技发展计划(No.24SH03) (No.XDA0450203)

植物学报

1674-3466

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