Robotics & Machine Learning Daily News2024,Issue(Jun.14) :37-38.

Researchers from Kunming University of Science and Technology Publish Research i n Robotics (Fusion of fruit image processing and deep learning: a study on ident ification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model)

昆明理工大学发表《机器人学研究》(水果图像处理与深度学习的融合:基于r-lbp算法和yolo-cit模型的柑橘成熟度识别研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :37-38.

Researchers from Kunming University of Science and Technology Publish Research i n Robotics (Fusion of fruit image processing and deep learning: a study on ident ification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model)

昆明理工大学发表《机器人学研究》(水果图像处理与深度学习的融合:基于r-lbp算法和yolo-cit模型的柑橘成熟度识别研究)

扫码查看

摘要

机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑发布了机器人学的新研究结果。据新华社记者从中华人民共和国昆明发回的新闻报道,研究表明:“柑橘果实是一种营养价值很高的广泛栽培水果。识别柑橘果实不同成熟阶段对于指导采摘机器人的HAR归属路径规划和预测产量具有重要意义。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on robotics have been published . According to news reporting originating from Kunming, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Citrus fruits are extensively cu ltivated fruits with high nutritional value. The identification of distinct ripe ness stages in citrus fruits plays a crucial role in guiding the planning of har vesting paths for citrus-picking robots and facilitating yield estimations in or chards.”

Key words

Kunming University of Science and Techno logy/Kunming/People’s Republic of China/Asia/Algorithms/Emerging Technologi es/Machine Learning/Nano-robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文