首页|期刊导航|农业科学学报（英文）|Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales
农业科学学报（英文）2020，Vol.19Issue(8)：1998-2008,11.DOI:10.1016/S2095-3119(19)62803-0
Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales
Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales
摘要
关键词
wheat grain/deep learning/Faster R-CNN/object detection/countingKey words
wheat grain/deep learning/Faster R-CNN/object detection/counting引用本文复制引用
WU Wei,GUO Wen-shan,YANG Tian-le,LI Rui,CHEN Chen,LIU Tao,ZHOU Kai,SUN Cheng-ming,LI Chun-yan,ZHU Xin-kai..Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales[J].农业科学学报（英文）,2020,19(8):1998-2008,11.基金项目
This research was mainly supported by the National Key Research and Development Program of China (2017YFD0301205), the Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (KYCX18_2371), the National Natural Science Foundation of China (31701355 and 31671615), the China Postdoctoral Science Foundation, China (2016M600448), the Priority Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD), the Yangzhou Science Foundation for Excellent Youths, China (YZ2017098) and the Science and Technology Plan Projects of Yangzhou, China (YZ2016251). （2017YFD0301205）
