Using artificial intelligence to support marine macrolitter research: a content analysis and an online database

DV Politikos, A Adamopoulou, G Petasis… - Ocean & Coastal …, 2023 - Elsevier
Marine scientists use a variety of collection and monitoring methods to survey macrolitter in
aquatic environments, aiming to assess the level of pollution and design mitigation actions …

[HTML][HTML] Drones for litter monitoring on coasts and rivers: suitable flight altitude and image resolution

U Andriolo, K Topouzelis, THM van Emmerik… - Marine pollution …, 2023 - Elsevier
Multirotor drones can be efficiently used to monitor macro-litter in coastal and riverine
environments. Litter on beaches, dunes and riverbanks, along with floating litter on coastal …

Targeting plastics: Machine learning applied to litter detection in aerial multispectral images

MD Iordache, L De Keukelaere, R Moelans, L Landuyt… - Remote Sensing, 2022 - mdpi.com
The occurrence of litter in natural areas is nowadays one of the major environmental
challenges. The uncontrolled dumping of solid waste in nature not only threatens wildlife on …

[HTML][HTML] Marine litter weight estimation from UAV imagery: Three potential methodologies to advance macrolitter reports

U Andriolo, G Gonçalves, M Hidaka, D Gonçalves… - Marine Pollution …, 2024 - Elsevier
In the context of marine litter monitoring, reporting the weight of beached litter can contribute
to a better understanding of pollution sources and support clean-up activities. However, the …

[HTML][HTML] The octopus pot on the North Atlantic Iberian coast: a plague of plastic on beaches and dunes

U Andriolo, G Gonçalves - Marine Pollution Bulletin, 2023 - Elsevier
This baseline focuses on the octopus pot, a litter item found on the North Atlantic Iberian
coast. Octopus pots are deployed from vessels in ropes, with several hundred units, and …

Detection and assessment of marine litter in an uninhabited island, Arabian Gulf: a case study with conventional and machine learning approaches

S Veerasingam, M Chatting, FS Asim… - Science of The Total …, 2022 - Elsevier
Abstract In 2018, the Ministry of Municipality and Environment, Qatar removed 90 t of marine
litter (ML) from the Ras Rakan Island (RRI), a remote uninhabited island in the Arabian Gulf …

YOLOX-Dense-CT: a detection algorithm for cherry tomatoes based on YOLOX and DenseNet

H Zheng, G Wang, X Li - Journal of Food Measurement and …, 2022 - Springer
The detection of cherry tomatoes has a great significance for robotic harvesting. However,
uneven environment conditions, such as branch and leaf occlusion, cluster of fruits, and so …

[HTML][HTML] Helium focused ion beam induced subsurface damage on Si and SiC substrates: Experiments and generative deep neural network modeling via position …

Q Chen, MA Gosalvez, Q Li, Y Xing - Journal of Materials Research and …, 2023 - Elsevier
Deep neural networks (DNNs) are reshaping many fields due to their end-to-end ability to
learn directly from data, leading to outstanding performance, especially in image processing …

[HTML][HTML] Application of Direct and Indirect Methodologies for Beach Litter Detection in Coastal Environments

A Sozio, VM Scarrica, A Rizzo, PPC Aucelli… - Remote Sensing, 2024 - mdpi.com
In this study, different approaches for detecting of beach litter (BL) items in coastal
environments are applied: the direct in situ survey, an indirect image analysis based on the …

[HTML][HTML] Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing

S Kako, R Muroya, D Matsuoka, A Isobe - Waste Management, 2024 - Elsevier
Cities are a major source of litter pollution. Determination of the abundance and composition
of plastic litter in cities is imperative for effective pollution management, environmental …