PanicleNeRF: Low-Cost, High-Precision In-Field Phenotyping of Rice Panicles with Smartphone
Xin Yang, Xuqi Lu, Pengyao Xie, Ziyue Guo, Hui Fang, Haowei Fu, Xiaochun Hu, Zhongyu Sun, Haiyan Cen
Abstract
). This method provides a low-cost solution for high-throughput in-field phenotyping of rice panicles, accelerating the efficiency of rice breeding.
Topics & Concepts
PanicleSegmentationArtificial intelligencePoint cloudJaponica riceComputer sciencePaddy fieldMathematicsComputer visionJaponicaHorticultureAgronomyBiologyBotanySmart Agriculture and AIRemote Sensing in AgricultureRemote Sensing and LiDAR Applications