High-Throughput Phenotyping of Seed Quality Traits Using Imaging and Deep Learning in Dry Pea
Mario Morales, Hannah Worral, Lisa M. Piche, Atanda Sikiru Adeniyi, Françoise Dalprá Dariva, Catalina Ramos, Khang Hoang, Changhui Yan, Paulo Flores, Nonoy B. Bandillo
This paper develops an automated seed quality assessment tool for dry peas using imaging and deep learning, achieving high accuracy and efficiency compared to traditional methods.
bioRxiv · Mar 5, 2024 · PreprintPlant Biology