The receiving robot is coming, no need to backache and leg cramps

                                          The receiving robot is coming, no need to backache and leg cramps


                                          eurekalert.org reported that《野外机器人》magazine said that engineers at the University of Cambridge in the UK have developed a vegetable picking robot "Vegebot", which Machine learning can be used to identify and pick a common but challenging crop. Vegebot was initially trained to pick up the cores under laboratory conditions. Currently, it has successfully tested in a variety of field conditions through collaboration with local fruit and vegetable cooperative G’s Growers. Although the speed and efficiency of the Vegebot prototype is not as good as that of pickers, its potential for application in harvesting difficult crops such as the heart of the heart is amazing. For decades, although large-scale mechanized harvesting of crops such as potatoes and wheat has been achieved, there are still many crops that cannot be automated for harvesting. The heart of the heart is the most common type of lettuce in the UK. It grows on relatively flat ground and is easily damaged during the picking process. These problems are great challenges for harvesting robots. Simon Birrell, a researcher and author of the University of Cambridge, said: “Every field is different, and every lettuce is different. But on the other hand, if we can harvest the heart with a machine, then I can use it as well. Harvesting other crops,” added co-author Julia Cai. “For now, harvesting is the only part of the lettuce life cycle that needs to be done by hand. This requires a high level of physical strength for workers.” Cai once experimented with Dr. Fumiya Iida. The room was involved in the development of the Vegebot vision system components.xx Vegebot的主要工作流程是:(1)识别视野内的目标作物; (2)确定所选莴苣是否符合收获要求; (3)切生菜。研究人员需要确保Vegebot不会碾碎生菜,以便将生菜快速放在架子上。该报的作者Josie Hughes说:“对于蔬菜工人来说,莴苣收获过程只需几秒钟即可完成,但对于机器人来说,这是一个非常具有挑战性的问题。”Vegebot主要由两部分组成:计算机视觉系统和切割系统。在Vegebot上的相机拍摄莴苣田的图像后,它首先识别图像中的所有莴苣,然后对各个莴苣进行分类以确定是否应该收获莴苣。如果生菜不成熟或“生病”,可能会被Vegebot跳过或抛弃。研究人员开发并训练了一种基于生菜图像的机器学习算法。一旦Vegebot能够在实验室中识别出健康的生菜,它将在不同的天气条件下接受数千种生菜挑战。 Vegebot的切割刀片还配有一个子摄像头,确保切割过程顺利进行。研究人员还可以调整机器人的“握力”,这样它就可以抓住莴苣而不会碾碎它。同样,研究人员可以根据作物的具体情况调整机器人的抓地力。项目负责人饭田说:“我们的出发点不是专门为心脏开发机器人,而是开发'全能'蔬菜采摘机器人。” 未来,机器人收割机有望帮助解决农业劳动力短缺和食物浪费等问题。目前,大多数田地只收获一次,没有成熟的水果和蔬菜被丢弃。机器人收割机可以整天在同一场地中多次收获。休斯说:“我们仍在收集有关生菜的大量数据,这可以提高机器人的效率。我们仍然需要继续加速Vegebot与蔬菜工人竞争。我们认为Vegebot在农业应用方面具有巨大潜力。” 原创汇编:德克斯特评论:西莫编辑:唐林芳 期刊来源:《野外机器人杂志》 期刊号:1556-4959 原文链接:https://www.eurekalert.org/pub_releases/2019-07/uoc-rum070319.php 中文内容仅供参考,所有内容均以英文原版为准。如果转载,请注明出处。

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