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Ying Chen, Xi Qiao, Feng Qin, Hongtao Huang, Bo Liu, Zaiyuan Li, Conghui Liu, Quan Wang, Fanghao Wan, Wanqiang Qian and Yiqi Huang
Invasive plant species pose significant biodiversity and ecosystem threats. Real-time identification of invasive plants is a crucial prerequisite for early and timely prevention. While deep learning has shown promising results in plant recognition, the u...
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Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti...
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Ping Dong, Kuo Li, Ming Wang, Feitao Li, Wei Guo and Haiping Si
In addition to the conventional situation of detecting a single disease on a single leaf in corn leaves, there is a complex phenomenon of multiple diseases overlapping on a single leaf (compound diseases). Current research on corn leaf disease detection ...
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Lulu Cai, Qian Tian, Qingqing Meng, Xiaoyang Bao, Peidong Xu, Ji Liu, Wenjun Zhao and Hui Wang
Stewart?s vascular wilt and leaf blight of sweet corn is caused by the Gram-negative enteric bacterium Pantoea stewartii subsp. stewartii. Stewart?s wilt results in substantial yield losses worldwide warranting rapid and accurate disease diagnosis. Recom...
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Chuanxi Niu, Weihao Wang, Hebin Guo and Kexin Li
With the development of the social economy and the continuous growth of the population, emergencies within field stations are becoming more frequent. To improve the efficiency of emergency evacuation of field stations and further protect people?s lives, ...
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Terry L. Pavlis and Laura F. Serpa
We assess the accuracy of Structure-from-Motion/Multiview stereo (SM) terrain models acquired ad hoc or without high-resolution ground control to analyze their usage as a base for inexpensive 3D bedrock geologic mapping. Our focus is on techniques that c...
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Ziqiang Liu, Wenyu Cai, Meiyan Zhang and Shuaishuai Lv
The Autonomous Underwater Vehicle?s body attitude has a great influence on some specific underwater tasks, such as topographic prospecting, target detection, etc. Therefore, this paper investigates an improved integral sliding mode control (IISMC)-based ...
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Christian Overgaard Christensen, Fengqiao Zhang, Gabriela Zarate Garnica, Eva Olivia Leontien Lantsoght, Per Goltermann and Jacob Wittrup Schmidt
Advanced monitoring methods are required to identify stop criteria in proof-load tests. In this study, the combined methodology of two-dimensional digital image correlation and acoustic emission is investigated for its applicability for future implementa...
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Yuan Liu, Long Shao, Wanzhang Wang, Jinfan Chen, Heng Zhang, Yue Yang and Baichen Hu
The fugitive dust generated by agricultural harvesting machinery not only causes harm to production safety, but also affects the living environment of people in agricultural areas. This is also one of the hot issues that have emerged in the green develop...
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Ivan Kuric, Jaromír Klarák, Vladimír Bulej, Milan Sága, Matej Kandera, Adrián Hajducík and Karol Tucki
The article discusses the possibility of object detector usage in field of automated visual inspection for objects with specific parameters, specifically various types of defects occurring on the surface of a car tire. Due to the insufficient amount of i...
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