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您的检索式：作者名="FENG Guoce"
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| 1 | Has“Grain for Green”threaten food security on the Loess Plateau of China?显示文摘There is debating over the question of whether the large-scale‘Grain for Green’program on the Loess Plateau of China threatens regional food security.Self-sufficiency index and cropland pressure index were used to assess food security on the Loess Plateau after the implementation of revegetation program.The results showed that the‘Grain for Green’program initially had a considerable impact on regional food security,where grain yield fell from 1999 to 2001,resulting in a lower grain self-sufficiency and increased farmland stress.Subsequently,grain yield in this region increased due to the elevated agricultural material input and increased construction of terraces and check dams.The grain self-sufficiency index would have increased to 96.55%if there were improvements to the agricultural conditions,such as fertilization and irrigation,which would have resulted in an increase in the crop yield per unit of 20%.However,the grain self-sufficiency increased to 105.25%via the construction of terraces and check dams.Thus,the government should further expand the‘Grain for Green’program in coordination with improvements to the agricultural production conditions and the construction of terraces and check dams on the Loess Plateau. | Peng Shi Zhaohong Feng Haidong Gao Peng Li Xiaoming Zhang Tiantian Zhu Zhanbin Li Guoce Xu Zongping Ren Lie Xiao | 2020 | Ecosystem Health and Sustainability2020，6，1： | 1 |
| 2 | Field rapid detection method of wind turbine blade fixing bolt defects based on FPGA显示文摘In order to solve the problem that blade fixing bolt cannot be detected quickly and conveniently in the field in actual production, this paper proposed a field rapid detection method of wind turbine blade fixing bolt defects based on field programmable gate array(FPGA), and Yolov4-tiny is selected as the basic algorithm. Nonetheless, the original Yolov4-tiny was not suitable for detecting small defects, so this paper improved the Yolov4-tiny to enhance the detection effect. Next, the convolutional operations in the algorithm were encapsulated into intellectual property(IP) cores by high-level synthesis(HLS) and Vivado, and parallel computation was realized using FPGA features. In the end, using Python to call the IP core and the FPGA hardware library, this paper achieved the purpose of rapid detection. Compared with traditional detection methods and other algorithms, the accuracy and speed of this method are significantly improved, which has a good application value. | HOU Yupeng ZHANG Lei WANG Yuanquan ZHAO Xiaosong FENG Guoce ZHANG Yirui | 2022 | Optoelectronics Letters2022，18，9： | 0 |
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