语言: English
科学研究research
科研进展
您当前的位置: 首页 > 科学研究 > 科研进展
Panicle Ratio Network: streamlining rice panicle measurement by deep learning with ultra-high-definition aerial images in the field 2022-07-27 The heading date and effective tiller percentage are important traits in rice, and they directly affect plant architecture and yield. Both traits are related to the ratio of the panicle number to the maximum tiller number, referred to as the panicle ratio (PR). In this study, an automatic PR estimation model (PRNet) based on a deep convolutional neural network was developed. Ultra-high-definiti...