Computer Vision in Plant Phenotyping and Agriculture

The CVPPA aims to advance computer vision techniques for applications in plant phenotyping and agriculture to support sustainable food, feed, fiber, and plant-based fuel production. The workshop seeks to highlight unsolved challenges, showcase current methods, and expand the research community at the intersection of plant and computer sciences. Topics include segmentation, tracking, detection, and reconstruction in agricultural contexts, open-source tools, and annotated datasets with benchmarks. Effective plant phenotyping is urgently needed to support the sustainability of our planet and its inhabitants: having strong community structures and computer vision scientists enter this field is more crucial now than ever.