期刊论文

Sun, Kaiqiong(kaiqiong@163.com)

英文

Computers and Electronics in Agriculture

0168-1699

2021

185

106150

10.1016/j.compag.2021.106150

The image data sets provided in (Dias et al., 2018b) consist of four datasets: AppleA, AppleB, Peach, and Pear. These images were created from different fruit flower species with different capture angles under varying natural environments, as summarized in Table 1. Both datasets AppleA and AppleB are images of apple trees, which consist of 147 images and 18 images, respectively. The Peach and Pear datasets are composed of 24 and 18 images, respectively. Labeling of the datasets combines freehand

本校为第一机构

In fruit production, the number of flowers plays a critical factor in crop management decision in an orchard. This paper proposes an automated apple, peach and pear flower detection method under varied environments. The semantic segmentation network DeepLab-ResNet is fine-tuned using apple flower dataset and used in detection for apple, peach and pear flower datasets. On the assumption that the network can roughly locate the flower object and there is distinct color difference between the flower and the surrounding background, an active contour...