Field and quasi-field phenotyping for the quantitative characterisation of wheat yield under stress

该项目旨在发展最先进的监测和概况分析能力，以便对干旱和养分缺乏等非生物胁迫条件下田间和准田间环境中的植物生长情况进行定量评估。该项目涉及设计和使用高分辨率但低预算的成像站，以捕捉竞争环境中谷类植物的生长情况。新的计算机视觉和图像处理技术将应用于图像数据，以定量地验证遗传品种在实际田间条件下耐受非生物胁迫环境的成功。

The project aims to develop state-of-the-art monitoring and profiling capabilities for the quantitative assessment of plant growth performance in field and quasi-field environments under the abiotic stress conditions of drought and nutrient deficiency. This project involves the design and use of high resolution but low budget imaging stations to capture the growth of cereal plants in competitive environments. Novel computer vision and image processing techniques will be applied to the image data to quantitatively characterise the success of genetic varieties to tolerate abiotic stress environments under actual field conditions.