Multi-modal few-shot learning for anthesis prediction of individual wheat plants.

ABSTRACT: Anthesis prediction is crucial for breeding wheat. While current tools provide estimates of average anthesis at the field scale, they fail to address the needs of breeders who require accurate predictions for individual plants. Hybrid breeders have to finalize their plans for pollination at least 10 days before such flowering is due and biotechnology field trials in the United States and Australia must report to regulators 7-14 days before the first plant flowers. Currently, predicting anthesis of individual wheat plants is a labour-intensive, inefficient, and costly process. Individual wheat of the same cultivar within the same field may exhibit substantial variations in anthesis timing, due to significant variations in their immediate surroundings. In this study, we developed an efficien

SUBMITTER: Xie Y 

PROVIDER: S-EPMC12709996 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature