农业机械学报2018，Vol.49Issue(5)：256-262,7.DOI:10.6041/j.issn.1000-1298.2018.05.030
基于机器视觉的大田植株生长动态三维定量化研究
Three-dimensional Quantifications of Plant Growth Dynamics in Field-grown Plants Based on Machine Vision Method
摘要
Abstract
High-throughput phenotyping of plant three-dimensional (3D) architecture is critical for determining plant phenotypic characteristics.The acquisition of 3D architecture of plant phenotypic traits based on machine vision has been widely applied in greenhouse research.Growth process of the plants can be dynamically monitored.However,the application of machine vision method in the field is less due to the complex environment.Machine vision method was used to obtain multi-view image sequences for field growth maize and soybean at different growth stages.Then 3 D architecture of individual plants and its populations were reconstructed.The accuracy of calculated individual blade length and maximum width was evaluated according to the measured data.The results showed that there was a good agreement between measured and calculated blade length and blade maximum width with R2 which were both more than 0.97.Then the dynamic changes of plant height,crown surface and organ growth were extracted based on reconstructed 3D architecture automatically.The results can provide a method for high throughput phenotypic analysis related to genotypes and help to evaluate the plant architecture and canopy radiation.关键词
机器视觉/玉米植株/大豆植株/多视角图像/表型Key words
machine vision/maize plants/soybean plants/multi-view images/phenotype分类
信息技术与安全科学引用本文复制引用
朱冰琳,刘扶桑,朱晋宇,郭焱,马韫韬..基于机器视觉的大田植株生长动态三维定量化研究[J].农业机械学报,2018,49(5):256-262,7.基金项目
国家自然科学基金项目(31000671)、国家重点研发计划项目(2016YFD0300202)和中央高校基本科研业务费专项资金项目(2017TC037) （31000671）
