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Automating biological experimentation remains challenging due to the need for millimeter-scale precision, long and multi-step experiments, and the dynamic nature of living systems. Current liquid handlers only partially automate workflows,…

Controlling fish feeding machine is challenging problem because experienced fishermen can adequately control based on assumption. To build robust method for reasonable application, we propose automatic controlling fish feeding machine based…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Hilmil Pradana , Keiichi Horio

Autonomous navigation is a long-standing field of robotics research, which provides an essential capability for mobile robots to execute a series of tasks on the same environments performed by human everyday. In this chapter, we present a…

Robotics · Computer Science 2020-12-08 Anh Nguyen , Quang Tran

Plant diseases are major causes of production losses and may have a significant impact on the agricultural sector. Detecting pests as early as possible can help increase crop yields and production efficiency. Several robotic monitoring…

Robotics · Computer Science 2023-08-29 Adi Yehoshua , Yael Edan

Addressing the issue of submerged underwater trash is crucial for safeguarding aquatic ecosystems and preserving marine life. While identifying debris present on the surface of water bodies is straightforward, assessing the underwater…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Jaskaran Singh Walia , Pavithra L K

Marine biofouling on vessel hulls poses major ecological, economic, and biosecurity risks. Traditional survey methods rely on diver inspections, which are hazardous and limited in scalability. This work investigates automated classification…

Computer Vision and Pattern Recognition · Computer Science 2026-01-29 Brayden Hamilton , Tim Cashmore , Peter Driscoll , Trevor Gee , Henry Williams

Agriculture industries often face challenges in manual tasks such as planting, harvesting, fertilizing, and detection, which can be time consuming and prone to errors. The "Agricultural Robotic System" project addresses these issues through…

Robotics · Computer Science 2023-07-20 Yang Wenkai , Ji Ruihang , Yue Yiran , Gu Zhonghan , Shu Wanyang , Sam Ge Shuzhi

The inclusion of Internet of Things (IoT) devices is growing rapidly in all application domains. Smart Farming supports devices connected, and with the support of Internet, cloud or edge computing infrastructure provide remote control of…

Cryptography and Security · Computer Science 2021-11-02 Mary Adkisson , Jeffrey C Kimmel , Maanak Gupta , Mahmoud Abdelsalam

Precision agriculture is a fast-growing field that aims at introducing affordable and effective automation into agricultural processes. Nowadays, algorithmic solutions for navigation in vineyards require expensive sensors and high…

Robotics · Computer Science 2021-12-21 Diego Aghi , Simone Cerrato , Vittorio Mazzia , Marcello Chiaberge

Automated and autonomous industrial inspection is a longstanding research field, driven by the necessity to enhance safety and efficiency within industrial settings. In addressing this need, we introduce an autonomously navigating robotic…

Autonomous navigation in agricultural environments is challenged by varying field conditions that arise in arable fields. State-of-the-art solutions for autonomous navigation in such environments require expensive hardware such as RTK-GNSS.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-11 Rajitha de Silva , Grzegorz Cielniak , Gang Wang , Junfeng Gao

Automatic defect detection is a challenging task because of the variability in texture and type of fabric defects. An effective defect detection system enables manufacturers to improve the quality of processes and products. Automation…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Samit Chakraborty , Marguerite Moore , Lisa Parrillo-Chapman

Underground water and wastewater pipelines are vital for city operations but plagued by anomalies like leaks and infiltrations, causing substantial water loss, environmental damage, and high repair costs. Conventional manual inspections…

Machine Learning · Computer Science 2025-10-09 Qiming Guo , Bishal Khatri , Hua Zhang , Wenlu Wang

As the global population grows and climate change intensifies, sustainable food production is critical. Marine aquaculture offers a viable solution, providing a sustainable protein source. However, the industry's expansion requires novel…

Machine Learning · Computer Science 2024-06-11 Eirini Katsidoniotaki , Biao Su , Eleni Kelasidi , Themistoklis P. Sapsis

The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade. Monitoring vessel behavior is fundamental to safeguard…

Machine Learning · Computer Science 2020-04-09 Lucas May Petry , Amilcar Soares , Vania Bogorny , Bruno Brandoli , Stan Matwin

The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biodiversity, water quality, and human activities such as navigation and recreation. The…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Gauthier Grimmer , Romain Wenger , Clément Flint , Germain Forestier , Gilles Rixhon , Valentin Chardon

According to the United Nations World Water Assessment Programme, every day, 2 million tons of sewage and industrial and agricultural waste are discharged into the worlds water. In order to address this pervasive issue of increasing water…

Machine Learning · Computer Science 2019-07-18 Ankit Gupta , Elliott Ruebush

Fish diseases in aquaculture constitute a significant hazard to nutriment security. Identification of infected fishes in aquaculture remains challenging to find out at the early stage due to the dearth of necessary infrastructure. The…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Md Shoaib Ahmed , Tanjim Taharat Aurpa , Md. Abul Kalam Azad

Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects and harmful pests, to develop and implement integrated pest…

Artificial intelligence has smoothly penetrated several economic activities, especially monitoring and control applications, including the agriculture sector. However, research efforts toward low-power sensing devices with fully functional…

Machine Learning · Computer Science 2021-08-03 Andrea Albanese , Matteo Nardello , Davide Brunelli