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Hui Liu, Kun Li, Luyao Ma and Zhijun Meng
Headland boundary identification and ranging are the key supporting technologies for the automatic driving of intelligent agricultural machinery, and they are also the basis for controlling operational behaviors such as autonomous turning and machine lif...
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Wei Chen, Xianglin Fu, Wanqing Chen and Zijun Peng
For the development of reinforced concrete structures and infrastructure construction, traditional rebar checking and acceptance methods have shortcomings in terms of efficiency. The use of digital image processing technology cannot easily identify a reb...
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Jiahui Qian, Wenjun Xia, Zhangyan Zhao and Faju Qiu
Due to uncontrollable influences of the manufacturing process and different construction environments, there are significant challenges to extracting accurate positioning points for the lifting holes in prefabricated beams. In this study, we propose a tw...
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Fujie Zhang, Yuhao Lin, Yinlong Zhu, Lixia Li, Xiuming Cui and Yongping Gao
The classification of the taproots of Panax notoginseng is conducive to improving the economic added value of its products. In this study, a real-time sorting robot system for Panax notoginseng taproots was developed based on the improved DeepLabv3+ mode...
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Shuofeng Li, Bing Li, Jin Li, Bin Liu and Xin Li
At present, rice is generally in a state of dense adhesion and small granular volume during processing, resulting in no effective semantic segmentation method for rice to extract complete rice. Aiming at the above problems, this paper designs a small obj...
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Tautvydas Fyleris, Andrius Kri?ciunas, Valentas Gru?auskas, Dalia Calneryte and Rimantas Barauskas
Urban change detection is an important part of sustainable urban planning, regional development, and socio-economic analysis, especially in regions with limited access to economic and demographic statistical data. The goal of this research is to create a...
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Huixuan Fu, Dan Meng, Wenhui Li and Yuchao Wang
Cracks are the main goal of bridge maintenance and accurate detection of cracks will help ensure their safe use. Aiming at the problem that traditional image processing methods are difficult to accurately detect cracks, deep learning technology was intro...
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