基于机器学习的精准施肥控制系统设计与分析

Design and Analysis of Precision Fertilization Control System Based on Machine Learning

以果园精准施肥控制系统为研究对象,以机器学习与双目视觉图像采集为输入数据,对施肥过程位置精准化控制,设置施肥量和施肥间隔长度,达到精准化施肥的目的。试验验证数据表明:在不同的行进速度条件下,精准施肥控制系统能够稳定进行施肥过程精准化控制,作业过程具有较高的适用性和可靠性。

This paper takes the orchard precision fertilization control system as the research object, based on machine learning and binocular visual image acquisition as the input data, accurately controls the position of the fertilization process, and sets the fertilization amount and fertilization interval length to achieve the purpose of precision fertilization. The experimental verification data show that under different travel speeds, the precision fertilization control system can stably control the fertilization process, and the operation process has high applicability and reliability.