Authors

Abstract

The key to the design of ground air dual-purpose agricultural information acquisition robot is the application of machine vision technology, which can realize the collection of crop growth state information. Based on the above analysis, this research mainly designs the machine vision system of the ground air dual-purpose agricultural information acquisition robot, which mainly includes two parts: hardware and software and image processing algorithm. The machine vision system designed in this paper can efficiently complete the state information collection of crops. In order to verify the effectiveness of the machine vision system, blueberry was taken as the experimental object in the study. The indoor and outdoor control group was set up to detect the fruit status and quality information, and the blueberry yield was estimated according to the detection results. The experimental results show that the image segmentation algorithm in the vision system can identify blueberry fruit well, and the information analysis ability of the system is strong, which can accurately predict the quality and yield of blueberry according to the image. It can be seen that the machine vision system has a good ability of information acquisition and recognition, which has a high reference significance for the design and research of the ground air dual-purpose agricultural information acquisition robot.

Abstract in Chinese

地空两用农业信息采集机器人设计的关键是机器视觉技术的应用，实现作物生长状态信息的采集。基于以上分析，本研究主要设计了地空两用农业信息采集机器人的机器视觉系统，主要包括硬件、软件和图像处理算法两部分。本文设计的机器视觉系统能有效地完成作物状态信息的采集。为了验证机器视觉系统的有效性，本研究以蓝莓为实验对象。设室内外对照组，检测果实状况和品质信息，根据检测结果估算蓝莓产量。实验结果表明，视觉系统中的图像分割算法能够很好地识别蓝莓果实，系统的信息分析能力强，能够根据图像准确预测蓝莓果实的品质和产量。可见，该机器视觉系统具有良好的信息采集和识别能力，对地空两用农业信息采集机器人的设计与研究具有较高的参考意义。