日韩区一区二区三区四|交换国产精品视频一区|国产口爆吞精在线观视频|午夜无码大尺度福利视频|二区亚洲国产精品一区久久|精品国产一级二级三级在线|欧美日韩精品久久久免费观看|亚洲高清一区二区三区高清不卡

position: EnglishChannel  > News> Tea Harvest Gets on Track with AI

Tea Harvest Gets on Track with AI

Source: 科技日報 | 2023-04-20 15:56:05 | Author: 林雨晨


Conceptual?model?of?tea picking robot.?(PHOTO:?VCG)

By LIN Yuchen?

Tea picking, mainly done by hand with a short and intensive picking period, has seen a technological transformation with AI-powered robots. In China's southeast province Zhejiang, known for Longjing tea or Dragon Well tea, robots developed by Professor Wu Chuanyu of Zhejiang University of Science and Technology are now seen using mechanical arms to precisely pick tea leaves in local plantations.

A large number of photos of tea tree buds and leaves were input into the tea picking robot system in early stage, according to Associate Professor Gui Jiangsheng from Wu's research team. It can then remember the shape and texture of the buds and leaves, and summarize their characteristics by producing its own photos. The more photos input, the richer the robot's knowledge base is, providing more accurate recognition of tea trees.

The technology uses a small pair of scissors at the end of a robotic arm; it finds the petiole of the buds according to the positioning information. With a single cut, the buds will be separated from the branch, while a negative pressure suction tube attached to the end of the robotic arm absorbs the cut buds into a container in the robotic arm.

The research team revealed that the AI-powered tea picking robot currently takes about 1.5 seconds per tea leaf, still lagging behind human speed.

The recognition accuracy of these intelligent robots is about 86 percent, with a success rate of 60 percent in tea picking.

"This proves intelligent tea picking is feasible, but there is still a long way to go in the future to turn feasible into usable and good," said Professor Chen Jianneng, member of the research team, adding that the robot is still in the laboratory stage, and the team will continue to develop it to improve picking efficiency and picking quality.

Editor:王曉夏

抱歉,您使用的瀏覽器版本過低或開啟了瀏覽器兼容模式,這會影響您正常瀏覽本網(wǎng)頁

您可以進(jìn)行以下操作:

1.將瀏覽器切換回極速模式

2.點擊下面圖標(biāo)升級或更換您的瀏覽器

3.暫不升級,繼續(xù)瀏覽

繼續(xù)瀏覽
彭阳县| 麻城市| 慈利县| 屏东市| 睢宁县| 镶黄旗| 南雄市| 边坝县| 陈巴尔虎旗| 呼伦贝尔市| 高台县| 克拉玛依市| 综艺| 安多县| 安丘市| 板桥市| 巧家县| 特克斯县| 许昌市| 蓬莱市| 聊城市| 新田县| 常德市| 灵宝市| 温州市| 虎林市| 苏尼特左旗| 临海市| 和硕县| 邵东县| 弥勒县| 池州市| 望城县| 道孚县| 靖远县| 翁牛特旗| 许昌县| 吴江市| 广南县| 会宁县| 沙雅县|