智慧农业导刊2025，Vol.5Issue(11)：6-9,4.DOI:10.20028/j.zhnydk.2025.11.002
高原燕麦育种表型数据视觉获取实验研究
摘要
Abstract
In traditional crop breeding,data collection predominantly relies on labor-intensive manual observation.This study focuses on the application of artificial intelligence technology within plant phenomics,driving innovation in smart breeding.We propose a computer vision-based phenotyping model coupled with an Internet of Things(IoT),which can non-destructively measure phenotypic data of oat and effectively reduce potential damage to oats.Meanwhile,it minimizes the sensory errors inherent in human-based measurement.By integrating breeding data into the process of smart agriculture practice,the ability to discover and solve actual production problems in smart agriculture in practice is improved,and the ability to innovate and practice is stimulated.关键词
饲用燕麦/表型测量/智慧农业/人工智能/机器视觉Key words
forage oat/phenotypic measurement/smart agriculture/artificial intelligence/machine vision分类
计算机与自动化引用本文复制引用
唐东明,谢恩然,王水莹..高原燕麦育种表型数据视觉获取实验研究[J].智慧农业导刊,2025,5(11):6-9,4.基金项目
四川省科技计划(2024YFHZ0013) （2024YFHZ0013）
四川省教育厅2024年省级普通本科高校创新性实验项目(无编号) （无编号）
西南民族大学专业学位研究生教学案例建设项目(无编号) （无编号）
