Computer Science and Application, Journal Year: 2025, Volume and Issue: 15(05), P. 651 - 659
Published: Jan. 1, 2025
Language: Английский
Computer Science and Application, Journal Year: 2025, Volume and Issue: 15(05), P. 651 - 659
Published: Jan. 1, 2025
Language: Английский
Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 791 - 791
Published: March 24, 2025
Accurate soybean pod counting remains a significant challenge in field-based phenotyping due to complex factors such as occlusion, dense distributions, and background interference. We present SmartPod, an advanced deep learning framework that addresses these challenges through three key innovations: (1) novel vision Transformer architecture for enhanced feature representation, (2) efficient attention mechanism the improved detection of overlapping pods, (3) semi-supervised strategy maximizes performance with limited annotated data. Extensive evaluations demonstrate SmartPod achieves state-of-the-art Average Precision at IoU threshold 0.5 (AP@IoU = 0.5) 94.1%, outperforming existing methods by 1.7–4.6% across various field conditions. This improvement, combined framework’s robustness environments, positions transformative tool large-scale precision breeding applications.
Language: Английский
Citations
1Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 67, P. 102074 - 102074
Published: May 3, 2025
Language: Английский
Citations
0Computer Science and Application, Journal Year: 2025, Volume and Issue: 15(05), P. 651 - 659
Published: Jan. 1, 2025
Language: Английский
Citations
0