Results 71 to 80 of about 188,325 (304)

Remote estimation of rapeseed yield with unmanned aerial vehicle (UAV) imaging and spectral mixture analysis. [PDF]

Plant Methods, 2018
The accurate quantification of yield in rapeseed is important for evaluating the supply of vegetable oil, especially at regional scales. This study developed an approach to estimate rapeseed yield with remotely sensed canopy spectra and abundance data by
Gong Y, Duan B, Fang S, Zhu R, Wu X, Ma Y, Peng Y.   +6 more
europepmc   +2 more sources

Verification of Accuracy of Unmanned Aerial Vehicle (UAV) Land Surface Temperature Images Using In-Situ Data

Remote Sensing, 2020
The accuracy of land surface temperatures (LSTs) acquired by an unmanned aerial vehicle (UAV) was verified by comparison with in-situ LSTs of various land cover materials at the Changwon National University Campus, Changwon City, South Korea. UAV imaging
Bonggeun Song, Kyunghun Park
semanticscholar   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Uniform terminology for unmanned aerial vehicles: their concept and legal regulation

Jus Strictum
The field of legal regulation for unmanned aerial vehicles (UAVs) lacks a unified terminology, and the prevailing trend is either to replace the term “unmanned aerial vehicle” or to abandon it altogether.
Aleksandr V. Moiseev, Valentina Yu. Moiseeva   +1 more
doaj   +1 more source

Unmanned Aerial Vehicle (UAV) for Mapping Plantation Area

Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan, 2019
The development of oil palm plantations from the beginning of planting in 1848 until now can be said to be very significant. As the largest palm oil production country in the world Indonesia has many developing palm oil companies, both national and international.
Sugeng, Sugeng, Putra, Ramadhan Adi, Muslim, Refinda Fazar, Septianto, Yogi   +3 more
openaire   +3 more sources

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Theory and Realization of Secondary Task Assignment for Multi-UAV Pickup Based on Green Scheduling

Complexity, 2021
The development of artificial intelligence technology has brought changes to various industries. Under the concept of green sustainable development, how to use the progress of science and technology to implement low-carbon strategies is a problem that ...
Shunqi Liu, Xi Fang, Yi Guo, Chenwei Liu, Jian Yang   +4 more
doaj   +1 more source

Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

Remote Sensing, 2017
The capability to monitor water status from crops on a regular basis can enhance productivity and water use efficiency. In this paper, high-resolution thermal imagery acquired by an unmanned aerial vehicle (UAV) was used to map plant water stress and its
Suyoung Park, D. Ryu, S. Fuentes, Hoam Chung, E. Hernández-Montes, M. O'Connell   +5 more
semanticscholar   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Layered Autonomous Decision Framework and DDQN-Enhanced Training for the BVR Air Game

Guidance, Navigation and Control
Modern beyond visual range air game is characterized by high dynamic complexity and multi-factor interweaving, making it challenging for traditional decision-making methods. This paper constructs an autonomous decision-making framework for a single-plane
Wenfei Wang, Le Ru, Maolong Lv, Jiaheng Tang, Hengzhi Fan   +4 more
doaj   +1 more source