基于随机森林和二维码模式识别的农业移动机器人设计

Agricultural Robot Based on Random Forest and Two Dimensional Pattern Recognition

随着农业自动化的发展,移动机器人慢慢被应用于农业领域,取代人们完成一些重复的工作。介绍了一种基于随机森林和二维码模式识别的移动机器人,其中二维码用于移动机器人在农业场所中的模式识别和定位,然后提出一种基于随机森林算法建立的模型进行农业行为预测和决策,其中用摄像头监测农作物情况,并将其作为输入,得到农业决策行为如:是否要去虫、浇水等农业行为。最后在MATLAB上仿真验证,能够达到预测要求,提高效率和农业自动化程度。

This paper introduces a kind of mobile robot based on random forest and two-dimensional code pattern recognition.The two-dimensional code brings the localization of mobile robot and then this paper proposes a model based on random forest algorithm,used in agricultural decision behavior,with the camera for monitoring crop condition as input.Then this paper gets the agricultural behaviors decision such as disinsection and watering behavior.Finally,the simulation verification on MATLAB can meet the requirements of decision making.