Open Access Article
Scientific Development Research . 2026; 6: (4) ; 8-12 ; DOI: 10.12208/j.sdr.20260053.
Operational characteristics and optimization strategies of the agricultural machinery socialized service system under different models
智能感知技术驱动下的农田作业装备精准作业模型构建
作者:
马明辉 *
邹平市长山镇人民政府 山东滨州
*通讯作者:
马明辉,单位:邹平市长山镇人民政府 山东滨州 ;
发布时间: 2026-07-11 总浏览量: 8
PDF 全文下载
引用本文
摘要
依托智能感知技术建立精准作业模型,为农田装备实现高精度、自动化和变量控制提供关键技术支持。本文围绕环境感知、装备状态监测和数据融合等核心环节,设计出完整的感知体系,建立作业路径规划、作业参数调控、智能决策等模型。通过实验平台搭建、仿真测试和田间验证的综合评价,所提出模型在作业精度、作业效率、资源利用率和产量提高方面都有明显的优势。研究结果表明,以智能感知为基础的精准作业模型具有良好的适应性以及可推广性,为农业机械智能化发展提供了一条系统的技术路线。
关键词: 智能感知技术;农田作业装备;精准作业;数据融合
Abstract
Based on intelligent perception technology, a precise operation model is established to provide key technical support for achieving high precision, automation, and variable control of agricultural equipment. This article focuses on core aspects such as environmental perception, equipment status monitoring, and data fusion, designing a complete perception system and establishing models for job path planning, job parameter regulation, and intelligent decision-making. Through comprehensive evaluation of experimental platform construction, simulation testing, and field validation, the proposed model has significant advantages in terms of operational accuracy, operational efficiency, resource utilization, and yield improvement. The research results indicate that the precision operation model based on intelligent perception has good adaptability and scalability, providing a systematic technical route for the intelligent development of agricultural machinery.
Key words: Intelligent perception technology; Agricultural homework equipment; Accurate homework; Data fusion
参考文献 References
[1] 陈钦财. 人工智能技术在农机装备中的应用分析 [J]. 中国农机装备, 2024, (10): 92-94.
[2] 卢君宜. 基于物联感知技术的农田信息采集机器人研究进展 [J]. 产业创新研究, 2024, (18): 104-106.
[3] 王一梅. 基于智能技术的农业精准种植模式研究 [J]. 河北农机, 2024, (17): 55-57.
[4] 王鹏哲. 基于情境感知的农业知识智能推荐模型研究[D]. 广西大学, 2024.
[5] 向钰,李双成,石林榕,等. 基于PLC的智能农业播种装备控制系统设计 [J]. 集成电路应用, 2025, 42 (12): 816-818. DOI:10.19339/j.issn.1674-2583.2025.12.371.
[6] 吕崇贵,李龙. 丘陵山区农业生产需求下的智能农机产品设计 [J]. 农机市场, 2024, (10): 67-69.
[7] 樊晖. 农业机械装备信息管理系统的设计与实现探讨 [J]. 农业开发与装备, 2022, (2): 31-33.
[8] 刘明远,贺成柱,邹建强. 基于虚拟感性工学的农业装备形态设计 [J]. 包装工程, 2022, 43 (6): 41-48.
引用本文
马明辉, 智能感知技术驱动下的农田作业装备精准作业模型构建[J]. 科学发展研究, 2026; 6: (4) : 8-12.