欢迎访问《植物保护学报》网站！

首页 | 期刊简介 |
编委会
编委会
青年编委会
| 道德声明 | 投稿指南 | 联系我们 | 期刊订阅 | English

智慧植保精准喷雾系统测试试验平台发展应用综述

引用本文：余忠义,何雄奎,李尚军,高杭,周克坤,王芯蕊,陈启新,万永祺,古松源.智慧植保精准喷雾系统测试试验平台发展应用综述.植物保护学报,2026,53(1):34-43

DOI：10.13802/j.cnki.zwbhxb.2026.2026803

摘要点击次数:

全文下载次数:

作者	单位	E-mail
余忠义	中国农业大学理学院, 北京 100193 中国农业大学药械与施药技术研究中心, 北京 100193
何雄奎	中国农业大学理学院, 北京 100193 中国农业大学药械与施药技术研究中心, 北京 100193	xiongkui@cau.edu.cn
李尚军	陕西省佳县农机服务中心, 榆林 719299
高杭	中国农业大学理学院, 北京 100193
周克坤	中国农业大学理学院, 北京 100193
王芯蕊	中国农业大学理学院, 北京 100193
陈启新	中国农业大学食品科学与营养工程学院, 北京 100083
万永祺	中国农业大学理学院, 北京 100193
古松源	中国农业大学动物科学技术学院, 北京 100193

中文摘要:精准喷雾系统作为农业新质生产力在智慧植保施药领域的核心应用载体，其性能显著影响着果园、大田和设施大棚等多元农林业场景的植保作业效率、质量、推广应用水平与生态效益。而测试试验平台是精准喷雾系统从实验室研发迈向田间实际应用的关键桥梁，承担着喷雾系统的使用性能测试、参数优化、故障诊断、标准制定与优化迭代的核心功能，成为智慧植保技术体系中不可或缺的支撑环节。该文介绍了国内外典型喷雾试验平台案例与发展现状，对比了其优缺点与适用场景，系统分析了多维度喷雾参数测量、复杂环境模拟测试、多系统协同测试和喷雾效果智能分析等关键技术的原理特点、研究现状与发展趋势。但仍面临着标准化不足、场景模拟受限、协同测试能力弱和研发成本高等挑战。该文结合当前研究结果和文献调研，提出了“大物移云智”人工智能驱动技术实现智能化升级、物理-数字孪生多元融合、智慧植保精准喷雾全产业链标准化建设、国产化、低成本化和便携化智能芯片研发、多源传感系统协同测试平台构建等发展方向，以期推动智慧植保精准喷雾系统测试平台技术的持续发展，助力我国农业向绿色、精准、高效方向转型升级。

中文关键词:智慧植保精准喷雾系统测试试验平台喷雾参数检测环境模拟多系统协同数字孪生

Development and application of test-beds for precision spraying systems in smart plant protection: a review

Author Name	Affiliation	E-mail
Yu Zhongyi	College of Science, China Agricultural University, Beijing 100193, China Research Center for Pharmaceutical Equipment and Application Technology, China Agricultural University, Beijing 100193, China
He Xiongkui	College of Science, China Agricultural University, Beijing 100193, China Research Center for Pharmaceutical Equipment and Application Technology, China Agricultural University, Beijing 100193, China	xiongkui@cau.edu.cn
Li Shangjun	Jia County Agricultural Machinery Service Center, Yulin 719299, Shaanxi Province, China
Gao Hang	College of Science, China Agricultural University, Beijing 100193, China
Zhou Kekun	College of Science, China Agricultural University, Beijing 100193, China
Wang Xinrui	College of Science, China Agricultural University, Beijing 100193, China
Chen Qixin	College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
Wan Yongqi	College of Science, China Agricultural University, Beijing 100193, China
Gu Songyuan	College of Animal Science and Technology, China Agricultural University, Beijing 100193, China

Abstract:As the core application carrier of new agricultural productivity in the field of intelligent plant protection and pesticide application, the performance of precision spray system significantly affects the efficiency, quality, popularization and application and ecological benefits of plant protection in diversified agricultural and forestry scenarios such as orchards, fields and facilities. Test-beds serve as the critical bridge for precision spraying systems to transition from laboratory development to practical field application. They fulfill core functions including performance evaluation, parameter optimization, diagnostic testing, standard formulation, and iterative refinement, making them an indispensable component within the smart plant protection technology ecosystem. This article analyzes and expounds the cases and development status of typical spray test platforms in China and abroad, and compares their advantages, disadvantages and application scenarios, and systematically analyzes the original characteristics, research status and development trend of key technologies such as multi-dimensional spray parameter measurement, complex environment simulation testing, multi system collaborative testing, and intelligent analysis of spray effects. However, it still faces challenges such as insufficient standardization, limited scenario simulation, weak collaborative testing capabilities, and high research and development costs. Based on the existing research results and literature review, we propose the breakthrough directions for the development of artificial intelligence (AI)-driven technology integrating big data, the Internet of Things (IoT), mobile networks, cloud computing, and AI. These directions aim to achieve intelligent upgrading, physical-digital twin multi-integration, standardization construction of precision spraying for intelligent plant protection across the entire industrial chain, localization and development of low-cost, portable smart chips, and construction of a collaborative test platform for multi-source sensor systems, to promote the sustainable development of test platform technology for intelligent plant protection precision spraying systems and support China’s agricultural transformation and upgrading towards green, precise and efficient development.

keywords:intelligent plant protection precision spray system test platform spray parameter monitoring environmental simulation multi-system coordination digital twin

查看全文查看/发表评论下载PDF阅读器