中国农学通报2025，Vol.41Issue(27)：54-70,17.
设施番茄生长模型与智能种植技术:研究进展与未来展望
Growth Models and Smart Planting Technologies for Greenhouse Tomatoes:Research Progress and Future Prospects
摘要
Abstract
This study aims to comprehensively analyze the major advancements in growth models and smart planting technologies for greenhouse tomatoes,providing scientific insights for sustainable development in greenhouse tomato industry.Using bibliometrics,combined with InCites and VOSviewer,this study systematically reviews and analyzes research outcomes and trends in the field across dimensions of country,institution,author,and research topic.Over the past two decades,global research attention on greenhouse tomatoes has significantly increased,with active research in China,Spain,and Canada.Foreign studies focus on environmental sustainability and resource-use efficiency,while domestic research emphasizes integrated water-fertilizer management and soil micro-environment regulation.Among growth models,explanatory models demonstrate superior performance.Smart sensing and decision-making technology have substantially improved production efficiency and product quality in irrigation-fertilization,pest and disease monitoring,and fruit identification and harvesting,while optimizing production management and laying the foundation for agricultural automation and intelligence.Future research should deepen growth-model developments to enhance predictive accuracy and adaptability,promote integrated development of intelligent technologies to advance smart greenhouse tomato cultivation,strengthen breeding for stress-resistant cultivars and precision irrigation-fertilization techniques,and advance the precision and intelligence of pest and disease identification technologies.关键词
设施农业/番茄/环境因素/生长模型/智能种植技术/研究进展Key words
protected agriculture/tomatoes/environmental factors/growth models/smart planting technologies/research advancements分类
农业科技引用本文复制引用
许佳,郑建华,何鹏,古乐,霍耀,汤顺杰..设施番茄生长模型与智能种植技术:研究进展与未来展望[J].中国农学通报,2025,41(27):54-70,17.基金项目
国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室开放课题"农业产业发展需求与关键生产知识耦合技术研究"(2024KMKS04) （2024KMKS04）
"天府粮仓"数字农业川渝联合创新重点实验室首批"揭榜挂帅"科技攻关任务"设施番茄智能种植策略模型及应用"[TFLCSZ-JB3(2023-2024)]. （2023-2024）
