温室智能施药机器人关键技术研究进展

    Research progress on key technologies of greenhouse intelligent pesticide application robot

    • 摘要: 现代温室有害生物防治经历了人工、机械、自动和智能施药等进程,智能施药机器人具有施药精准、风雾变量、作业高效、解放劳动力、保障农产品质量安全等诸多优势,满足设施农业现代植保智慧化的迫切需求,已经成为解决设施农业施药难题、推动农业绿色、高效、智能化发展的关键植保技术装备。目前温室智能施药机器人的关键技术主要有底盘平台设计、变量喷雾技术、智能导航技术和精准识别技术等。底盘平台作为智能施药机器人的作业基础部件,其结构设计、作业速度和操控性能显著提升,大多配有升降、悬挂与减震装置来增强温室作业的稳定性;智能变量施药系统根据温室作物病虫害分布、冠层结构疏密来实时调整施药量与施药范围,更加精准、智能、低污染化;智能感知导航技术是实现施药机器人自主作业的技术核心,大多结合激光雷达、视觉导航、超声波传感器等技术协同感知环境、作物和障碍物,确保温室植保施药作业的安全执行、高效管控;温室作物的冠层结构、病虫害信息识别为精准对靶变量施药作业提供基础参数和管控依据。尽管温室智能施药机器人仍面临技术集成复杂、研制成本高、环境适应性差等难题挑战,但随着大数据、物联网、移动网、云计算和人工智能(AI)技术不断创新融合迭代,以及市场需求高速增长,温室智能施药机器人未来的发展前景广阔,有望在设施农业种植生产管理中发挥更大作用,极大助力我国设施农业向现代化、智能化、绿色化大步迈进。

       

      Abstract: The process of pest control in modern greenhouse has evolved from manual and mechanical methods to automatic and intelligent pesticide application. Intelligent pesticide application robots have many advantages such as precise pesticide application, variable air-fog output, efficient operation, labor liberation, and ensuring the quality and safety of agricultural products. They meet the urgent needs of modern and intelligent facility agriculture and have become key technical equipment to solve the problem of pesticide application in facility agriculture and promote the development of green, efficient, and intelligent agriculture. Currently, the key technologies of greenhouse intelligent spraying robots mainly include mobile platform design, variable spray technology, intelligent navigation technology and accurate identification technology. As the basic component of intelligent pesticide application robots, the mobile platform has significantly improved its structural design, operating speed and handling performance. Most of them are equipped with lifting, suspension, and shock absorption devices to enhance the stability of greenhouse operations. The intelligent variable pesticide application system adjusts the amount and range of pesticide application in real time based on the distribution of pests and diseases in greenhouse crops and the density of canopy structure, making it more accurate, intelligent, and environmentally friendly. Intelligent perception navigation technology is the core technology for achieving autonomous operation of pesticide application robots. It primarily combines technologies such as LiDAR, visual navigation, and ultrasonic sensors to collaboratively perceive the environment, crops, and obstacles, ensuring the safe execution and efficient control of greenhouse plant protection and pesticide application operations. The identification of canopy structure and pest and disease information of greenhouse crops provides a basic parameter basis for precise target variable operations. Although greenhouse intelligent pesticide robots still face challenges such as complex technological integration, high development costs, and poor environmental adaptability, with the continuous innovation and iteration of big data, Internet of Things (IoT), mobile networks, cloud computing, and artificial intelligence (AI) technologies, as well as the rapid growth of market demand, the future development prospects of greenhouse intelligent pesticide robots are broad. They are expected to play a significant role in facility agriculture planting and production management, greatly assisting China's facility agriculture to modernise, become more intelligent and embrace sustainability.

       

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