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Detecting and evaluating surface coating defects is important for marine vessel maintenance. Currently, the assessment is carried out manually by qualified inspectors using international standards and their own experience. Automating the…

计算机视觉与模式识别 · 计算机科学 2022-03-21 Li Yu , Kareem Metwaly , James Z. Wang , Vishal Monga

Digital aquaculture leverages advanced technologies and data-driven methods, providing substantial benefits over traditional aquaculture practices. This paper presents a comprehensive review of three interconnected digital aquaculture…

定量方法 · 定量生物学 2025-03-04 Meng Cui , Xubo Liu , Haohe Liu , Jinzheng Zhao , Daoliang Li , Wenwu Wang

Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practical usage, and their financial impact constitutes a…

Biofouling is a major challenge for sustainable shipping, filter membranes, heat exchangers, and medical devices. The development of fouling-resistant coatings requires the evaluation of their effectiveness. Such an evaluation is usually…

In order to keep aquatic ecosystems safe and healthy, it is imperative that cleaning be done frequently. This research suggests the use of autonomous underwater rovers for effective underwater cleaning as a novel approach to this issue. The…

机器人学 · 计算机科学 2023-04-18 Aditya Sundarajan , Jaideepnath Anand , Kevin Timothy Muller , Mangal Das

This paper presents a dataset gathered with an underwater robot in a sea-based aquaculture setting. Data was gathered from an operational fish farm and includes data from sensors such as the Waterlinked A50 DVL, the Nortek Nucleus 1000 DVL,…

机器人学 · 计算机科学 2025-04-30 Sveinung Johan Ohrem , Bent Haugaløkken , Eleni Kelasidi

Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities. Robotic navigation in vineyards and orchards offers competitive advantages in autonomously…

机器人学 · 计算机科学 2022-11-03 Mauro Martini , Simone Cerrato , Francesco Salvetti , Simone Angarano , Marcello Chiaberge

A disconcerting ramification of water pollution caused by burgeoning populations, rapid industrialization and modernization of agriculture, has been the exponential increase in the incidence of algal growth across the globe. Harmful algal…

计算机视觉与模式识别 · 计算机科学 2018-11-28 Arabinda Samantaray , Baijian Yang , J. Eric Dietz , Byung-Cheol Min

Agriculture has always remained an integral part of the world. As the human population keeps on rising, the demand for food also increases, and so is the dependency on the agriculture industry. But in today's scenario, because of low yield,…

机器人学 · 计算机科学 2022-11-23 Dhruv Patel , Meet Gandhi , Shankaranarayanan H. , Anand D. Darji

Aquaculture systems can benefit from the recent development of advanced control strategies to reduce operating costs and fish loss and increase growth production efficiency, resulting in fish welfare and health. Monitoring the water quality…

系统与控制 · 电气工程与系统科学 2023-06-19 Fahad Aljehani , Ibrahima N'Doye , Taous-Meriem Laleg-Kirati

In response to the burgeoning global demand for seafood and the challenges of managing fish farms, we introduce an innovative IoT based environmental control system that integrates sensor technology and advanced machine learning decision…

信号处理 · 电气工程与系统科学 2023-11-09 D. Dhinakaran , S. Gopalakrishnan , M. D. Manigandan , T. P. Anish

In today's chemical plants, human field operators perform frequent integrity checks to guarantee high safety standards, and thus are possibly the first to encounter dangerous operating conditions. To alleviate their task, we present a…

Research on coastal regions traditionally involves methods like manual sampling, monitoring buoys, and remote sensing, but these methods face challenges in spatially and temporally diverse regions of interest. Autonomous surface vehicles…

机器人学 · 计算机科学 2024-05-29 Mingi Jeong

The target of this paper is to recommend a way for Automated classification of Fish species. A high accuracy fish classification is required for greater understanding of fish behavior in Ichthyology and by marine biologists. Maintaining a…

计算机视觉与模式识别 · 计算机科学 2018-05-28 Dhruv Rathi , Sushant Jain , Dr. S. Indu

The agriculture sector requires a lot of labor and resources. Hence, farmers are constantly being pressed for technology and automation to be cost-effective. In this context, autonomous robots can play a very important role in carrying out…

Aquaculture production -- the cultivation of aquatic plants and animals -- has grown rapidly since the 1990s, but sparse, self-reported and aggregate production data limits the effective understanding and monitoring of the industry's trends…

计算机视觉与模式识别 · 计算机科学 2024-06-21 Sebastian Quaade , Andrea Vallebueno , Olivia D. N. Alcabes , Kit T. Rodolfa , Daniel E. Ho

The significant growth in the aquaculture industry over the last few decades encourages new technological and robotic solutions to help improve the efficiency and safety of production. In sea-based farming of Atlantic salmon in Norway,…

Aquaculture involves cultivating marine and freshwater organisms, with real-time monitoring of aquatic parameters being crucial in fish farming. This thesis proposes an IoT-based framework using sensors and Arduino for efficient monitoring…

机器学习 · 计算机科学 2025-01-22 Md. Monirul Islam

Fish feeding behavior analysis is a key foundation for intelligent feeding and precision aquaculture management, and plays an important role in improving feed utilization efficiency, reducing production costs, and mitigating environmental…

计算机视觉与模式识别 · 计算机科学 2026-05-05 Shulong Zhang , Daoliang Li , Jiayin Zhao , Mingyuan Yao , Yingyi Chen , Haihua Wang

Maintaining sewer systems in large cities is important, but also time and effort consuming, because visual inspections are currently done manually. To reduce the amount of aforementioned manual work, defects within sewer pipes should be…

计算机视觉与模式识别 · 计算机科学 2024-04-10 Bach Ha , Birgit Schalter , Laura White , Joachim Koehler