Deep learning-based detection and counting of wheat seeds: Comparative benchmarking of YOLO models
用自建RGB小麦种子数据集对比YOLOv8n与YOLO11n的检测计数性能。
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#种子检测
Wild rice kernel inspection using a prompt-guided vision language model with evidence-grounded reasoning
用提示引导的视觉语言模型对野生稻米粒进行检测，并给出基于证据的推理。
Respiratory-metabolism-guided multimodal PM-RVGNet for nondestructive single-seed vigor and germination consistency inference in Chinese cabbage
提出PM-RVGNet多模态网络，基于呼吸代谢指导，无损推断白菜种子活力与发芽一致性。