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Xiang Sun, Yisheng Miao, Xiaoyan Wu, Yuansheng Wang, Qingxue Li, Huaji Zhu and Huarui Wu
To enhance the transplantation effectiveness of vegetables and promptly formulate subsequent work strategies, it is imperative to study the recognition approach for transplanted seedlings. In the natural and complex environment, factors like background a...
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Shihao Ma, Jiao Wu, Zhijun Zhang and Yala Tong
Addressing the limitations, including low automation, slow recognition speed, and limited universality, of current mudslide disaster detection techniques in remote sensing imagery, this study employs deep learning methods for enhanced mudslide disaster d...
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Rong Wang, Haowen Yan and Xiaomin Lu
This paper aims to propose a new approach to calculate the quantitative relations between morphostructural similarity degree and map scale change in multi-scale contour clusters for automatic contour generalization. Terrain lines were extracted by pre-pr...
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Oleg O. Kartashov, Sergey V. Chapek, Dmitry S. Polyanichenko, Grigory I. Belyavsky, Alexander A. Alexandrov, Maria A. Butakova and Alexander V. Soldatov
Microfluidic devices have opened new opportunities for functional material chemical synthesis in a few applications. The screening of microfluidic synthesis processes is an urgent task of the experimental process in terms of automation and intellectualiz...
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Son Vu Hong Pham and Khoi Van Tien Nguyen
Artificial intelligence models are currently being proposed for application in improving performance in addressing contemporary management and production issues. With the goal of automating the detection of road surface defects in transportation infrastr...
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Dexiao Kong, Jiayi Wang, Qinghui Zhang, Junqiu Li and Jian Rong
Automated fruit-picking equipment has the potential to significantly enhance the efficiency of picking. Accurate detection and localization of fruits are particularly crucial in this regard. However, current methods rely on expensive tools such as depth ...
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Zhiwei Chen, Jianneng Chen, Yang Li, Zhiyong Gui and Taojie Yu
The precise detection and positioning of tea buds are among the major issues in tea picking automation. In this study, a novel algorithm for detecting tea buds and estimating their poses in a field environment was proposed by using a depth camera. This a...
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Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Farashazillah Yahya, Ali Farzamnia, Florence Sia, Nur Faraha Mohd Naim and Lorita Angeline
Plastic waste is a growing environmental concern that poses a significant threat to onshore ecosystems, human health, and wildlife. The accumulation of plastic waste in oceans has reached a staggering estimate of over eight million tons annually, leading...
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Ján Erdélyi, Richard Honti, Tomá? Funtík, Pavol Mayer and Aset Madiev
The effort towards automation of the building industry processes has increased significantly over the last years worldwide. One of the key tools in this process is the modeling of buildings using Building Information Modeling (BIM). When following fundam...
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Rong Wang, Haowen Yan and Xiaomin Lu
Quantitative relations between topological similarity degree and map scale change of multi-scale contour clusters are vital to the automation of map generalization. However, no method has been proposed to calculate the relations. This paper aims at filli...
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