Xiao-Hui Yang, Ye-Tong Wang, Ming-Hui Wu, Fan Li, Cheng-Long Zhou, Li-Jun Yang, Chen Zheng, Yong Li, Zhi Li, Si-Yi Guo, Chun-Peng Song
Plant stomatal phenotype traits play an important role in improving crop water use efficiency, stress resistance and yield. However, at present, the acquisition of phenotype traits mainly relies on manual measurement, which is time-consuming and laborious. In order to obtain high-throughput stomatal phenotype traits, we proposed a real-time recognition network SLPA-Net for stomata localization and phenotypic analysis. After locating and identifying stomatal density data, ellipse fitting is used to automatically obtain phenotype data such as apertures...
February 9, 2024: IEEE/ACM Transactions on Computational Biology and Bioinformatics