12   Artículos

 
en línea
Qixun Xiao, Wenying Zheng, Yifan He, Zijie Chen, Fanxin Meng and Liyan Wu    
The use of Internet of Things (IoT) technology for real-time monitoring of agricultural pests is an unavoidable trend in the future of intelligent agriculture. This paper aims to address the difficulties in deploying models at the edge of the pest monito... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yingdong Ye, Rong Zhen, Zheping Shao, Jiacai Pan and Yubing Lin    
The intelligent perception ability of the close-range navigation environment is the basis of autonomous decision-making and control of unmanned ships. In order to realize real-time perception of the close-range environment of unmanned ships, an enhanced ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhaoxin Yue, Bing Yan, Huaizhi Liu and Zhe Chen    
Underwater creatures play a vital role in maintaining the delicate balance of the ocean ecosystem. In recent years, machine learning methods have been developed to identify underwater biologicals in the complex underwater environment. However, the scarci... ver más
Revista: Water    Formato: Electrónico

 
en línea
Hao Wang and Nanfeng Xiao    
In order to better utilize and protect marine organisms, reliable underwater object detection methods need to be developed. Due to various influencing factors from complex and changeable underwater environments, the underwater object detection is full of... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nikolaos Giakoumoglou, Eleftheria-Maria Pechlivani, Nikolaos Frangakis and Dimitrios Tzovaras    
Early detection and efficient management practices to control Tuta absoluta (Meyrick) infestation is crucial for safeguarding tomato production yield and minimizing economic losses. This study investigates the detection of T. absoluta infestation on toma... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yuchao Wang, Jingdong Li, Zeming Chen and Chenglong Wang    
In order to solve the problem of low accuracy of small target detection in traditional target detection algorithms, the YOLOX algorithm combined with Convolutional Block Attention Module (CBAM) is proposed. The algorithm first uses CBAM on the shallow fe... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zeyuan Shao, Hongguang Lyu, Yong Yin, Tao Cheng, Xiaowei Gao, Wenjun Zhang, Qianfeng Jing, Yanjie Zhao and Lunping Zhang    
Accurate detection of sea-surface objects is vital for the safe navigation of autonomous ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors such as video cameras are used to supplement marine radar to improve ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Peng Li, Yibing Fan, Zhengyang Cai, Zhiyu Lyu and Weijie Ren    
Marine biological object detection is of great significance for the exploration and protection of underwater resources. There have been some achievements in visual inspection for specific objects based on machine learning. However, owing to the complex i... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Haotian Pei, Youqiang Sun, He Huang, Wei Zhang, Jiajia Sheng and Zhiying Zhang    
Effective maize and weed detection plays an important role in farmland management, which helps to improve yield and save herbicide resources. Due to their convenience and high resolution, Unmanned Aerial Vehicles (UAVs) are widely used in weed detection.... ver más
Revista: Agriculture    Formato: Electrónico

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