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Green plums are a characteristic fruit resource in China, with a long history of cultivation. Many surface defects will appear in the growth, transportation and preservation of green plums which seriously affect the processing quality of by-products. The existing manual sorting method of green plums is limited by the experience of workers. It is difficult to ensure the quality and speed of detection. Therefore, the formation of automatic detection of green plums surface defects is of great significance to the development of green plum industry. According to the surface defects of green plums, this paper divides green plums into five categories: rot, cracks, scars, rain spots and normal. A total of 1235 images of green plums were obtained by self-built image acquisition device. The WideResNet50-AdamW-Wce model based on WideResNet model was built to classify the surface defects of green plums. Accuracy, recall and F1-measure were selected as the indexes to evaluate the accuracy of classification. The accuracy of classification reached 98.95%, and the classification accuracy of rain spots, normal, scars, rot and crack reached 100%, 99.56%, 98.59%, 98.25% and 96.10% respectively. Comparing the performance of ResNet50-SGD, WideResNet50-SGD, WideResNet50-SGD-Wce, and WideResNet50-AdamW network models, the F1-Measure based on WideResNet50-AdamW-Wce is the highest in each defect, and more greengage defect features can be learned. The detection results can meet the production needs of plum deep processing enterprises – evaluating 1800 green plums per hour on the assembly line.

In the competitive electricity structure, the data exchange between supplier and customers becomes more important for efficient and secure operation of power systems. Automated meter reading (AMR) technology has played a role in helping utilities overcome their meter-reading challenges. However, it is not enough in today's environment. Utilities need an advanced metering infrastructure (AMI) to gather and utilize metered data in more intelligent and cost-effective manner. In this paper, a flexible and cost-effective AM! system is proposed. The AM! system adopts multicommunication media, such as Global System for Mobile Communications and General Package Radio Service. The AM! system not only reduces the labor cost and increases meter-reading accuracy but also provides accurate load-profile information and billing data to help customers manage their power consumption. The distributed structure of the AMI system makes it easy to be adopted in different sizes of utility systems. The effectiveness of the proposed system has been demonstrated in several utilities in Shandong Province, China. [ABSTRACT FROM AUTHOR]