An Automated Field Phenotyping Pipeline for Application in Grapevine Research

摘要: Due to its perennial nature and size, the acquisition of phenotypic data in grapevine research is almost exclusively restricted field done by visual estimation. This kind evaluation procedure limited time, cost subjectivity records. As a consequence, objectivity, automation more precision are needed increase number samples, manage repositories, enable genetic new traits and, therefore, efficiency plant research. In present study, an automated phenotyping pipeline was setup applied plot resources. The application PHENObot allows image from at least 250 individual grapevines per hour directly without user interaction. Data management handled database (IMAGEdata). automatic analysis tool BIVcolor (Berries Vineyards-color) permitted collection precise two important fruit traits, berry size color, within large set plants. represents for high-throughput sampling field. these images facilitates generation objective on larger scale.