摘要
农业信息采集主要收集农作物的生长状况和所处的环境特征,作为农艺操作的依据。传统的信息采集主要依靠人工观察记载或仪器测量记录,获得的数据量有限,参考价值不高。为此,设计了一种以铝合金框架车体为平台的轮式机器人,具有行走控制、路径识别和信息采集的功能,且在农田环境中行走平稳,能够识别田间的空行和作物并规划行走路径。试验结果表明:机器人采集的信息数据与人工测量数据之间差异很小,符合农田环境的实际情况,可以为农业的信息化和智能化提供技术支撑。
Agricultural information collection is to collect the growth status of crops and the environmental characteristics of crops,as the basis for agronomic operations.The traditional information collection mainly relies on manual observation records or instrument measurement records,and the amount of data obtained is limited,which affects the reference value for agricultural production.Robots perform well in facility agriculture,but their applicability in farmland environments has not been validated.This study designed a wheeled robot with aluminum alloy frame body as the platform,with the functions of walking control,path identification and information collection.The robot walks smoothly in the farmland environment,can identify empty lines and crops in the field and plan the walking path.The difference between the information data collected by the robot and the manual measurement data is small,which is in line with the actual situation of the farmland environment,and can provide technical support for the informationization and intelligence of agriculture.
作者
苏燕
梁武
Su Yan;Liang Wu(Beihai Vocational College Electronic and Information Engineering,Beihai 536000,China)
出处
《农机化研究》
北大核心
2020年第12期117-120,219,共5页
Journal of Agricultural Mechanization Research
基金
广西职业教育教学改革研究项目(GXGZJG2018B081)。
关键词
农田环境
机器人
信息采集
机器视觉
传感器
farmland environment
robot
information collection
machine vision
sensor
