机译:利用数字图像和深卷积神经网络估算早期生长阶段的冬小麦地面生物质
Chinese Acad Agr Sci Inst Environm &
Sustainable Dev Agr 12 Zhongguancun South St Beijing 100081 Peoples R China;
China Agr Univ Coll Informat &
Elect Engn Beijing 100083 Peoples R China;
China Agr Univ Coll Informat &
Elect Engn Beijing 100083 Peoples R China;
Chinese Acad Agr Sci Inst Environm &
Sustainable Dev Agr 12 Zhongguancun South St Beijing 100081 Peoples R China;
Chinese Acad Agr Sci Inst Environm &
Sustainable Dev Agr 12 Zhongguancun South St Beijing 100081 Peoples R China;
China Agr Univ Coll Informat &
Elect Engn Beijing 100083 Peoples R China;
Chinese Acad Agr Sci Inst Environm &
Sustainable Dev Agr 12 Zhongguancun South St Beijing 100081 Peoples R China;
Winter wheat; Above ground biomass; RGB images; Deep convolutional neural network;
机译:利用数字图像和深卷积神经网络估算早期生长阶段的冬小麦地面生物质
机译:用数字显微镜图像使用深卷积神经网络估算混凝土的抗压强度
机译:使用无人机基于空中车辆的数字图像和高光谱作物冠层图像的小波分析估算冬小麦上面的地面生物质
机译:基于对象特征的冬小麦地面覆盖率自动数字图像分析
机译:使用深度卷积神经网络(DCNN)的2D和3D计算光学成像
机译:深度卷积神经网络可区分异构数字病理图像
机译:深度卷积神经网络能够辨别异构数字病理图像