Results 181 to 190 of about 12,103 (274)

Magnetic Data Correction for Fluxgate Magnetometers on a Paramagnetic Unmanned Surface Vehicle: A Comparative Analysis in Marine Surveys. [PDF]

Sensors (Basel)
Choi S, Kim M, Park Y, Moon G, Choe H.
europepmc   +1 more source

Unmanned Surface Vehicle Market Overview

The Unmanned Surface Vehicle (USV) Market is experiencing steady growth driven by advancements in AI, navigation systems, and rising maritime security needs. Expanding commercial applications and emerging hybrid propulsion technologies further enhance the market's long-term potential.
openaire   +2 more sources

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

Optimized design of an unmanned surface vehicle

, 2009
Summarization: A multi-role unmanned surface vehicle (USV) has been recently designed at the Technical University of Crete. This paper highlights the methodology used for the optimized design.
Spanoudakis Polychronis(http://users.isc.tuc.gr/~pspanoudakis), Κανακακης Ευαγγελος(http://users.isc.tuc.gr/~ekanakakis1), Kanakakis Evangelos(http://users.isc.tuc.gr/~ekanakakis1), Τσουρβελουδης Νικολαος(http://users.isc.tuc.gr/~ntsourveloudis), Tsourveloudis Nikolaos(http://users.isc.tuc.gr/~ntsourveloudis), Σπανουδακης Πολυχρονης(http://users.isc.tuc.gr/~pspanoudakis)   +5 more
core  

Fuzzy adaptive fault-tolerant control for an unmanned surface vehicle with prescribed tracking performance. [PDF]

Front Robot AI
Bao Y, Gao J, Peng P.
europepmc   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Prescribed time adaptive periodic sliding mode control of unmanned surface vehicle cluster under singular disturbance. [PDF]

Sci Rep
Zhou F, An Q, He Y, Pan J, He M.
europepmc   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Development of flying camera system for unmanned surface vehicle

, 2016
The increase use of Unmanned Aerial Vehicle (UAVs) also known as autonomous aerial vehicle has increase tremendously for the past few years be it for military or civilian use.
She, Lupeng
core  

Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle. [PDF]

Sensors (Basel)
Li T, Zhang X, Huang Y, Yang C.
europepmc   +1 more source