Authors

Abstract

Agricultural mechanization has become the main mode of agricultural production and represents the development direction of modern agriculture. The amount of data generated in the agricultural production process is extremely huge, so it is necessary to introduce the concept and analysis method of big data. Combining agricultural robots with big data can improve the performance and application effect of robots. This paper combines big data, WLAN technology and robot technology to realize man-machine remote cooperation platform. This gives full play to the advantages that people are good at object recognition and robots are good at execution, and improves the fruit picking efficiency. The target fruit positioning and recognition system aided by machine vision is adopted to realize the accurate positioning of the fruit to be picked. Design of LFM control signal fitting based on big data clustering. In order to verify the feasibility of the scheme, taking the tomato picking robot as an example, the communication error and control accuracy using big data and WIFI (Wireless Fidelity) technology were tested, and the positioning and navigation efficiency with and without remote monitoring system was compared. Test results show that using big data and WIFI remote monitoring technology can effectively improve the efficiency and accuracy of positioning and navigation of remote operating system, which is of great significance for the design of automatic control system of picking robot.

Abstract in Chinese

农业机械化已成为农业生产的主要方式，代表了现代农业的发展方向。农业生产过程中产生的数据量巨大，有必要引入大数据的概念和分析方法。将农业机器人与大数据相结合，可以提高机器人的性能和应用效果。本文结合大数据、无线局域网技术和机器人技术，实现了人机远程协作平台。这充分发挥了人善于识别物体、机器人善于执行的优势，提高了采摘效率。采用机器视觉辅助的目标水果定位识别系统，实现对被采摘水果的精确定位。基于大数据聚类的LFM控制信号拟合设计。为了验证该方案的可行性，以番茄采摘机器人为例，利用大数据和WIFI技术对其通信误差和控制精度进行了测试，并对有无远程监控系统的定位导航效率进行了比较。试验结果表明，采用大数据和WIFI远程监控技术可以有效提高远程操作系统的定位导航效率和精度，对采摘机器人自动控制系统的设计具有重要意义。