DeepGrapes: Precise Detection of Grapes in Low-resolution Images

作     者：krabánek, Pavel 

作者机构：Department of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Pardubice Czech Republic 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2018年第51卷第6期

页      面：185-189页

核心收录：

主　　题：Deep learning Convolution Neural networks Convolutional networks Convolutional neural network Low resolution images Precision and recall precision viticulture Scene image State of the art Yield estimation 

摘      要：We proposed a deep convolutional network aimed at detection of single grapes of white varieties in low-resolution colour images. With accuracy, precision and recall at 97.35 %, 96.53 %, and 98.27 %, the proposed grape detector is a state of the art solution. The detector is intended for practical applications that require high exactitude, such as in the process of yield estimation. © 2018