New Agricultural Robots Study Findings Recently Were Published by a Researcher a t University of Tsukuba (3D Camera and Single- Point Laser Sensor Integration for Apple Localization in Spindle- Type Orchard Systems)
New Agricultural Robots Study Findings Recently Were Published by a Researcher a t University of Tsukuba (3D Camera and Single- Point Laser Sensor Integration for Apple Localization in Spindle- Type Orchard Systems)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in agricultural robots. According to news reporting from Tsukuba, Japan, by NewsRx journalists, research stated, "Accurate localization of apples is the key factor that determines a successful harvesting cycle in the automation of apple harves ting for unmanned operations. In this regard, accurate depth sensing or position al information of apples is required for harvesting apples based on robotic syst ems, which is challenging in outdoor environments because of uneven light variat ions when using 3D cameras for the localization of apples." The news reporters obtained a quote from the research from University of Tsukuba : "Therefore, this research attempted to overcome the effect of light variations for the 3D cameras during outdoor apple harvesting operations. Thus, integrated single-point laser sensors for the localization of apples using a state-of-the- art model, the EfficientDet object detection algorithm with an mAP@0.5 of 0.775 were used in this study. In the experiments, a RealSense D455f RGB-D camera was integrated with a single-point laser ranging sensor utilized to obtain precise a pple localization coordinates for implementation in a harvesting robot. The sing le-point laser range sensor was attached to two servo motors capable of moving t he center position of the detected apples based on the detection ID generated by the DeepSORT (online real-time tracking) algorithm. The experiments were conduc ted under indoor and outdoor conditions in a spindletype apple orchard artifici al architecture by mounting the combined sensor system behind a four-wheel tract or. The localization coordinates were compared between the RGB-D camera depth va lues and the combined sensor system under different light conditions."
Key words
University of Tsukuba/Tsukuba/Japan/A sia/Agricultural Robots/Agriculture/Emerging Technologies/Machine Learning/Robotics/Robots
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