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Jinxiu Ma, An Li, Fangjun Qin, Wenbin Gong and Hao Che
The marine atomic interferometric gravimeter is a vital precision instrument for measuring marine geophysical information, which is widely used in mineral resources exploration, military applications, and missile launches. In practical measurements, vibr...
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Wenhao Wang, Yun Shi, Wanfu Liu and Zijin Che
Rising labor costs and a workforce shortage have impeded the development and economic benefits of the global grape industry. Research and development of intelligent grape harvesting technologies is desperately needed. Therefore, rapid and accurate identi...
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Yilin Ma, Haiqi Wang, Jianguo Liu, Rongrong Wang and Ziqiang Che
To investigate the effect of nitrogen (N) application on the carbon metabolism and yield of flag leaves and grains of spring wheat under drip irrigation in Xinjiang, a split-zone design was adopted from 2020 to 2021, with strong-gluten wheat, Xinchun 37 ...
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Yueling Pei, Yanfang Sun, Yuan Chen, Tuizi Feng, Haiyan Che and Haibo Long
The aim of this study was to determine the status of weed Solanum nigrum L. as a transitional host for Meloidogyne enterolobii and its effect on the population base of the nematodes in the next season. The nematode species infecting S. nigrum L. in a fal...
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Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ...
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Eugene Levner, Vladimir Kats, Pengyu Yan and Ada Che
High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum ...
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Shuang Che, Yan Chen, Longda Wang and Chuanfang Xu
This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth?flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Chengmei Shang, Zhixi Geng, Yuanyuan Sun, Dongxue Che, Qingjiao Zhao, Ting Chen, Ming Tang and Lijuan Huo
With the development of industrial activities and the agricultural and mining industries, farmland soils are facing serious problems related to heavy metal contamination, especially cadmium (Cd) and arsenic (As) contamination. In this study, two industri...
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Qiuying Han, Wenxue Che, Hui Zhao, Jiahui Ye, Wenxuan Zeng, Yufeng Luo, Xinzhu Bai, Muqiu Zhao and Yunfeng Shi
Eutrophication due to aquaculture can cause the decline of seagrasses and impact their carbon storage capacity. This study explored the effects of aquaculture on the sediment organic carbon (SOC) in Thalassia testudinum seagrass beds using enzyme activit...
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