Transforming rice phenotyping: Advanced deep learning models enhance panicle analysis and nitrogen impact studies
Rice, vital for global food security, faces production challenges during the heading-flowering stage. Traditional phenotyping struggles for large-scale analysis, prompting a shift to advanced computer vision and deep learning. While methods like SIFT and neural networks enhance rice panicle analysis,…
Isabel04/01/2024
