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• Instance Segmentation Method for Insulators in Complex Backgrounds Based on Improved SOLOv2.
  To precisely delineate the contours of insulators in complex transmission line images obtained from Unmanned Aerial Vehicle (UAV) inspections and thereby facilitate subsequent defect analysis, this study proposes an instance segmentation framework predicated u…
  pubmed Chen Z, Ji Y, Du X, Zhao S 等 2025 Aug 27 置信度 0.82
• A New Method of Airflow Velocity Measurement by UAV Flight Parameters Analysis for Underground Mine Ventilation.
  The idea of this research is to develop a method of airflow velocity measurement in underground mines having a network of long-distance crossing tunnels, where inspections of the ventilation system are required. Currently, this time-consuming procedure is cond…
  pubmed Wróblewski A, Banasiewicz A, Krot P, Trybała P 等 2025 Aug 26 置信度 0.82
• Variable-Speed UAV Path Optimization Based on the CRLB Criterion for Passive Target Localization.
  The performance of passive target localization is significantly influenced by the positions of unmanned aerial vehicle swarms (UAVs). In this paper, we investigate the problem of UAV path optimization to enhance the localization accuracy. Firstly, a passive ta…
  pubmed Chen L, You C, Wang Y, Li X 2025 置信度 0.82
• Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks.
  The Internet of Things (IoT) has promoted emerging applications that require massive device collaboration, heavy computation, and stringent latency. Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) systems can provide flexible services for us…
  pubmed Cheng M, He S, Pan Y, Lin M 等 2025 Aug 22 置信度 0.82
• Broadband Flexible Metasurface for SAR Imaging Cloaking.
  Most electromagnetic invisibility devices are designed while relying on rigid structures, which have limitations in adapting to complex curved surfaces and dynamic deployment. In contrast, flexible invisibility structures have great application value due to th…
  pubmed Yang B, Jin H, Chen C, Zhu P 等 2025 Aug 25 置信度 0.82
• Development of psychoacoustic prediction models for short-term noise annoyance responses to unmanned aircraft systemsa).
  Unmanned aircraft systems (UAS) are emerging for use in civil applications such as commercial logistics, surveying, agriculture, and maintenance tasks. One challenge raised by this technology is to understand how humans respond to UAS sound, the characteristic…
  pubmed Lotinga MJB, Green MC, Torija AJ 2025 Sep 1 置信度 0.82
• Thermal drone surveys to detect arboreal fauna: Improving population estimates and threatened species monitoring.
  Sound methods to determine species occurrence and abundance are crucial for successful wildlife management and conservation. When species communities cannot be readily detected using camera traps or acoustic monitoring, ground survey methods such as spotlighti…
  pubmed Wagner B, Garnick SW, Ryan MF, Isaac JL 等 2025 Sep 置信度 0.82
• Ultrahigh performance air-coupled transducer based on polyimide aerogel matching layer.
  Air-coupled piezoelectric ultrasonic transducers suffer from severe acoustic impedance mismatch between piezoelectric resonators and air, rendering them nearly ineffective without matching layers. Commercially available matching layer (∼ 1.1 MRayl) woul…
  pubmed Lou X, Liu Z, Zhou Q, Cao W 2026 Feb 置信度 0.82
• TATrack: Target-oriented adaptive vision transformer for UAV tracking.
  Unmanned Aerial Vehicle (UAV) tracking requires accurate target localization from aerial top-down perspectives while operating under the computational constraints of aerial platforms. Current mainstream UAV trackers, constrained by the limited resources, predo…
  pubmed Zhang W, Xu T, Xie F, Wu J 等 2026 Jan 置信度 0.82
• Evolution of mass loss at Alamkouh Glacier in Iran using multi-temporal high-resolution DEMs between 2010 and 2023.
  Small glaciers situated in high mountainous areas are experiencing notable declines, characterized by unprecedented rates of ice loss in recent years. This study investigates the recent changes in surface elevation and mass loss occurring between 2010 and 2023…
  pubmed Karimi N, Sheshangosht S 2025 Sep 10 置信度 0.82
• Drone observations reveal white shark (Carcharodon carcharias) dorsal fins are highly flexible and possible investigatory structures.
  Drones are becoming increasingly useful in their ability to observe wildlife. They have been especially useful in documenting marine animals such as sharks. Here we present novel aerial drone observations of a previously unknown dorsal-fin behaviour in white s…
  pubmed Gauna C, Sternes PC 2025 Dec 置信度 0.82
• Solubility-pKa Coupling Effect Tailored Nanoporous Nylon Aerogel Family with Multiple Thermomechanical Processes.
  Despite significant advancements in aerogels science, the fabrication of high-performance aerogels with their plastic processability remains unexplored owing to their inherent trade-off between skeletal rigidity and transformable processability. Herein, a univ…
  pubmed Chen J, Li L, Zhang A, Zhang X 2026 Jan 置信度 0.82
• YOLO-Pika: a lightweight improved model of YOLOv8n incorporating Fusion_Block and multi-scale fusion FPN and its application in the precise detection of plateau pikas.
  The plateau pika ( Ochotona curzoniae ) is a keystone species on the Qinghai-Tibet Plateau, and its population density-typically inferred from burrow counts-requires rapid, low-cost monitoring. We propose YOLO-Pika, a lightweight detector built on YOLOv8n that…
  pubmed Liu Y, Zhao J, Xu C, Hou Y 等 2025 置信度 0.82
• Investigating spatiotemporal traffic dynamics toward conflict risk levels using trajectory data in heterogeneous traffic conditions.
  This study aimed to identify dynamic spatiotemporal traffic factors influencing conflict risk levels on National Highways under heterogeneous traffic conditions in India. The research addresses gaps by capturing vehicle interactions using high-resolution UAV-b…
  pubmed Jain V, Dhamaniya A 2026 置信度 0.82
• Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks.
  Autonomous systems operating in high-dimensional environments increasingly rely on prioritization heuristics to allocate attention and assess risk, yet these mechanisms can introduce cognitive biases such as salience, spatial framing, and temporal familiarity …
  pubmed Chu S, Chen Y 2025 置信度 0.82
• Can the global drone revolution make agriculture more sustainable?
  Rapid growth in drone use is upending expectations but also inducing trade-offs.
  pubmed Belton B, Baldiga L, Justice S, Minten B 等 2025 Sep 4 置信度 0.82
• Laser-Induced 3D Graphene Enabled Polymer Composites with Improved Mechanical and Electrical Properties Toward Multifunctional Performance.
  Conductive graphene-based composites are attracting substantial interest due to their excellent mechanical and electrical properties for potential applications in electronics. Typically, such composites are fabricated by infiltrating the 3D graphene framework …
  pubmed Liu F, Luo S, Li J, Wang Z 等 2025 Nov 置信度 0.82
• On-Site and Remote Sensing Assessment of Water Pollution in the Sokolov Coal Basin, Czech Republic.
  Effective water pollution assessment is essential for promoting sustainable development, especially in mining regions, where water resources are frequently degraded. Unmanned Aerial Vehicles (UAVs) and satellite imagery offer valuable tools for monitoring and …
  pubmed Berka M, Hendrychová M, Klouček T, Zikmundová M 等 2025 Dec 置信度 0.82
• Hybrid adaptive PID control strategy for UAVs using combined neural networks and fuzzy logic.
  This paper presents a novel hybrid combined neural network and fuzzy logic adaptive proportional, integral, and derivative(NNPID+FPID) control strategy that integrates neural networks and fuzzy logic for optimizing Unmanned Aerial Vehicle(UAV) dynamics by tuni…
  pubmed Madebo NW 2025 置信度 0.82
• Structure analysis in an octocopter using piezoelectric sensors and machine learning.
  This study presents a novel diagnostic methodology for assessing drive system damage and its propagation in an unmanned aerial vehicle (UAV) using piezoelectric sensors mounted on each arm of the drone. In contrast to existing studies that focus solely on faul…
  pubmed Koszewnik A, Ambrożkiewicz B, Ołdziej D, Dzienis P 等 2025 Aug 28 置信度 0.82
• Advances in UAV Remote Sensing for Monitoring Crop Water and Nutrient Status: Modeling Methods, Influencing Factors, and Challenges.
  With the advancement of precision agriculture, Unmanned Aerial Vehicle (UAV)-based remote sensing has been increasingly employed for monitoring crop water and nutrient status due to its high flexibility, fine spatial resolution, and rapid data acquisition capa…
  pubmed Yang X, Chen J, Lu X, Liu H 等 2025 Aug 15 置信度 0.82
• A Detection Approach for Wheat Spike Recognition and Counting Based on UAV Images and Improved Faster R-CNN.
  This study presents an innovative unmanned aerial vehicle (UAV)-based intelligent detection method utilizing an improved Faster Region-based Convolutional Neural Network (Faster R-CNN) architecture to address the inefficiency and inaccuracy inherent in manual …
  pubmed Wang D, Shi L, Yin H, Cheng Y 等 2025 Aug 9 置信度 0.82
• Intelligent Dynamic-Enhanced Compensation for UAV Magnetic Interference.
  Magnetic interference compensation is critical for enhancing the accuracy of unmanned aerial vehicle (UAV) magnetic anomaly detection. To address the constrained compensation performance of the conventional Tolles-Lawson (T-L) model, which stems from insuffici…
  pubmed Chen Z, Yu Z, Liu C, Wu G 等 2025 Aug 14 置信度 0.82
• Multi-UAV-Assisted Task Offloading and Trajectory Optimization for Edge Computing via NOMA.
  Unmanned Aerial Vehicles (UAVs) exhibit significant potential in enhancing the wireless communication coverage and service quality of Mobile Edge Computing (MEC) systems due to their superior flexibility and ease of deployment. However, the rapid growth of tas…
  pubmed Liu J, Hu H, Bai X, Li G 等 2025 置信度 0.82
• Edge-Based Real-Time Fault Detection in UAV Systems via B-Spline Telemetry Reconstruction and Lightweight Hybrid AI.
  Unmanned aerial vehicles (UAVs) increasingly demand robust onboard diagnostic frameworks to ensure safe operation under irregular telemetry and mission-critical conditions. This paper presents a real-time fault detection framework for unmanned aerial vehicles …
  pubmed Reis MJCS, Reis AJD 2025 Aug 10 置信度 0.82
• YOLOv5s-TC: An Improved Intelligent Model for Insulator Fault Detection Based on YOLOv5s.
  Insulators play a pivotal role in power grid infrastructure, offering indispensable electrical insulation and mechanical support. Precise and efficient detection of insulator faults is of paramount importance for safeguarding grid reliability and ensuring oper…
  pubmed Yin Y, Duan Y, Wang X, Han S 等 2025 Aug 8 置信度 0.82
• A Kalman Filter-Based Localization Calibration Method Optimized by Reinforcement Learning and Information Matrix Fusion.
  To address the degradation in localization accuracy caused by insufficient robustness of filter parameters and inefficient multi-trajectory data fusion in dynamic environments, this paper proposes a Kalman filter-based localization calibration method optimized…
  pubmed Huang Z, Xu Q, Sun M, Zhu X 2025 Aug 1 置信度 0.82
• Deep Reinforcement Learning-Based Resource Allocation for UAV-GAP Downlink Cooperative NOMA in IIoT Systems.
  This paper studies deep reinforcement learning (DRL)-based joint resource allocation and three-dimensional (3D) trajectory optimization for unmanned aerial vehicle (UAV)-ground access point (GAP) cooperative non-orthogonal multiple access (NOMA) communication …
  pubmed Huang Y, Su J, Lu X, Huang S 等 2025 Jul 29 置信度 0.82
• UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton.
  Nitrogen plays a pivotal role in determining cotton yield and fiber quality. Nevertheless, because high-dimensional remote-sensing data are inherently complex and redundant, accurately estimating cotton plant nitrogen concentration (PNC) from unmanned aerial v…
  pubmed Li F, Zhao C, Ma Y, Lv N 等 2025 置信度 0.82
• Research on Computation Offloading and Resource Allocation Strategy Based on MADDPG for Integrated Space-Air-Marine Network.
  This paper investigates the problem of computation offloading and resource allocation in an integrated space-air-sea network based on unmanned aerial vehicle (UAV) and low Earth orbit (LEO) satellites supporting Maritime Internet of Things (M-IoT) devices. Con…
  pubmed Gao H 2025 Jul 28 置信度 0.82
• Three-Dimensional Non-Stationary MIMO Channel Modeling for UAV-Based Terahertz Wireless Communication Systems.
  Terahertz (THz) wireless communications can support ultra-high data rates and secure wireless links with miniaturized devices for unmanned aerial vehicle (UAV) communications. In this paper, a three-dimensional (3D) non-stationary geometry-based stochastic cha…
  pubmed Zhang K, Li Y, Wang X, Yang Z 等 2025 Jul 25 置信度 0.82
• Three-Dimensional Path Planning for UAV Based on Multi-Strategy Dream Optimization Algorithm.
  The multi-strategy optimized dream optimization algorithm (MSDOA) is proposed to address the challenges of inadequate search capability, slow convergence, and susceptibility to local optima in intelligent optimization algorithms applied to UAV three-dimensiona…
  pubmed Yang X, Zhao S, Gao W, Li P 等 2025 置信度 0.82
• EAB-BES: A Global Optimization Approach for Efficient UAV Path Planning in High-Density Urban Environments.
  This paper presents a multi-strategy enhanced bald eagle search algorithm (EAB-BES) for 3D UAV path planning in urban environments. EAB-BES addresses key limitations of the traditional bald eagle search (BES) algorithm, including slow convergence, susceptibili…
  pubmed Zhang Y, Xiao W, Yin S 2025 Jul 31 置信度 0.82
• Covert communication performance evaluation in UAV-assisted rate-splitting multiple access systems.
  In this paper, we investigate using rate-splitting multiple access (RSMA) to facilitate covert communication in a multi-user unmanned aerial vehicle (UAV) downlink communication network that is being monitored by a warden (Willie). We establish a comprehensive…
  pubmed Nhu NH, Bao LC, Minh BV, Tran M 等 2025 置信度 0.82
• Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks.
  Coverage Path Planning is an important strategy used mainly in junction with the unmanned aerial vehicles (UAVs) such that it can cover the regions of the target with minimized energy consumptions. This coverage path planning specifically with heterogeneous UA…
  pubmed Karthik K, Balasubramanian C, Praveen R 2025 置信度 0.82
• Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application.
  In Ethiopia, Teff is a vital staple crop, yet its productivity is significantly challenges due to inefficient weed and fertilizer management, threatening food security. Traditional weed control methods rely on manual labor and the indiscriminate application of…
  pubmed Kebede AS, Muluneh TW, Adege AB 2025 Aug 21 置信度 0.82
• High-resolution vertical profiling of aerosols microphysical and optical properties during the 2024 LEADER UAV campaign in Nadarzyce (Poland).
  This study aims to highlight the benefits of unmanned aerial vehicle (UAV) system in atmospheric aerosol research, particularly for obtaining information on the vertical variability of aerosol single-scattering properties in the lower troposphere. The results …
  pubmed Markowicz KM, Chiliński MT, Panfil W, Nurowska K 等 2025 Jul 置信度 0.82
• Surveillance of urban river environment by quantifying distributions of water quality parameters using hyperspectral remote sensing-based ripple propagation graph network.
  Efficient inspection of variation in water quality is of paramount importance to environmental protection and management of urban rivers. With remote sensing techniques prevailing in environmental monitoring in recent years, unmanned aerial vehicle (UAV) remot…
  pubmed Zhang Y, Wu L 2025 Nov 1 置信度 0.82
• Weed mapping using UAV imagery and AI techniques: current trends and challenges.
  Despite achieving accuracy rates of over 90% in recognizing weeds in crop fields using images captured by unmanned aerial vehicles (UAVs), challenges remain with embedded systems that perform automatic weed identification in real-time. The primary objective of…
  pubmed Tosin MC, Merotto Júnior A, Sulzbach E, Scheeren I 等 2025 Dec 置信度 0.82
• Assessment of plant diversity index in degraded desert grassland using UAV hyperspectral multimodal data and Encoder-CNN.
  The biodiversity function of the desert steppe ecosystem faces many challenges under the pressure of climate change and human activities. Accurate and efficient assessment of plant diversity is critical for guiding desert steppe restoration efforts. However, d…
  pubmed Tang Z, Xuan C, Zhang T, Gao X 等 2025 Aug 21 置信度 0.82
• Neural radiance fields assisted by image features for UAV scene reconstruction.
  With the rapid advancement of Unmanned Aerial Vehicle applications, vision-based 3D scene reconstruction has demonstrated significant value in fields such as remote sensing and target detection. However, scenes captured by UAVs are often large-scale, sparsely …
  pubmed Chen Z, Chen X, Ye C, Wu S 等 2025 Aug 20 置信度 0.82
• A review of landfill odors assessment: Advancing from stationary measurement to spatiotemporal monitoring.
  Odor issues from landfills remain a persistent environmental challenge, exacerbated by the increasing urbanization and the decreasing proximity of residential areas to waste disposal sites. Conventional odor measurement methods (e.g., olfactometry, gas chromat…
  pubmed Hassan SZ, Sun PP, Chen J, Reinhart D 2025 Sep 置信度 0.82
• Detecting infrared UAVs on edge devices through lightweight instance segmentation.
  Infrared unmanned aerial vehicle (UAV) detection for surveillance applications faces three conflicting requirements: accurate detection of pixel-level thermal signatures, real-time processing capabilities, and deployment feasibility on resource-constrained edg…
  pubmed Chen Y, Sun H, Tian L, Yang Y 等 2025 置信度 0.82
• Intelligent maneuver decision-making for UAVs using the TD3-LSTM reinforcement learning algorithm under uncertain information.
  Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)-long short-term memory (LSTM) reinforcement learning-based intelligent maneuver decision-making meth…
  pubmed Zhou T, Liu Z, Jin W, Han Z 2025 置信度 0.82
• Venus flytrap-inspired PVDF-based sensitive strain sensor with modulus-tuned design for anisotropic bending recognition.
  Polyvinylidene fluoride (PVDF) has attracted extensive attention for flexible piezoelectric strain sensors due to its piezoelectric activity and mechanical robustness. However, practical application in small-strain monitoring occasions remains restricted by li…
  pubmed Zeng L, Li Y, Li Q, Guo Y 2025 Aug 28 置信度 0.82
• Predictive Maintenance System to RUL Prediction of Li-Ion Batteries and Identify the Fault Type of Brushless DC Electric Motor from UAVs.
  Unmanned Aerial Vehicles have started to be used more and more due to the benefits they bring. Failure of Unmanned Aerial Vehicle components may result in loss of control, which may cause property damage or personal injury. In order to increase the operational…
  pubmed Andrioaia DA 2025 Aug 3 置信度 0.82
• Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence.
  Unmanned platforms such as unmanned aerial vehicles, unmanned ground vehicles, and autonomous underwater vehicles often face challenges of data, device, and model heterogeneity when performing collaborative data processing tasks. Existing research does not sim…
  pubmed Liu S, Shan N, Bao X, Xu X 2025 置信度 0.82
• A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow.
  Monitoring crop damage caused by wildlife remains a significant challenge in agricultural management, particularly in the case of large-scale monocultures such as maize. The given study presents a semi-automated process for detecting wildlife-induced damage us…
  pubmed Banaszek S, Szota M 2025 Jul 31 置信度 0.82
• Structural Component Identification and Damage Localization of Civil Infrastructure Using Semantic Segmentation.
  Visual inspection of civil infrastructure for structural health assessment, as performed by structural engineers, is expensive and time-consuming. Therefore, automating this process is highly attractive, which has received significant attention in recent years…
  pubmed Tauzowski P, Ostrowski M, Bogucki D, Jarosik P 等 2025 Jul 30 置信度 0.82
• Lightweight Detection of Inserted Chirp Symbols in Radio Transmission from Commercial UAVs.
  Most small, commercial unmanned aerial vehicles (UAVs) maintain continuous two-way radio communication with the controller. Signals emitted by the UAVs can be used for detection of their presence, but as these drones use unlicensed frequency bands that are sha…
  pubmed Cwalina KK, Rajchowski P, Sadowski J 2025 Jul 23 置信度 0.82
• From aerial drone to quantitative trait locus: leveraging next-generation phenotyping to reveal the genetics of color and height in field-grown Lactuca sativa.
  In recent years, accurate and low-cost variant calling has enabled the genotyping of large diversity panels for genome-wide association studies. As a result, phenotyping rather than genotyping is now the rate-limiting step, especially in field experiments. Thi…
  pubmed Dijkhuizen R, van Eijnatten AL, Mehrem SL, van den Bergh E 等 2025 Aug 置信度 0.82
• Drone-based application of whale tags: A "tap-and-go" approach for scientific animal-borne investigations.
  Deploying animal-borne suction-based tag devices on whales has been one of the primary tools used by researchers over the past several decades to gather high-resolution scientific information, such as bioacoustics, heart rate, dive depth, and body orientation.…
  pubmed Vogt DM, Pagani S, Gonzalez-Peltier Z, Gero S 等 2025 置信度 0.82
• Resource allocation and path planning for RSMA-enabled UAV-VLC networks considering UAV jitter.
  Unmanned aerial vehicle (UAV)-assisted visible light communication (VLC) plays an essential role in night communication and lighting. Nevertheless, the restricted payload capacity of UAVs, coupled with user demands for high communication quality, brings new ch…
  pubmed Feng R, Liu Y, Luo L, Zhao S 等 2025 Mar 10 置信度 0.82
• Rational Design of NiCo(2)O(4)/Ti(3)C(2) MXene Heterostructure for Unmanned Aerial Vehicles-Enabled Real-Time CO Monitoring.
  The integration of gas sensors with small unmanned aerial vehicles (UAVs) has attracted widespread attention in atmospheric chemistry, industrial emission monitoring and environmental protection. However, conventional metal oxide semiconductor gas sensors curr…
  pubmed Lian M, Luan K, He T, Chen D 2025 Aug 22 置信度 0.82
• Slope inspection under dense vegetation using LiDAR-based quadrotors.
  Landslides pose significant threats to residents' safety and daily lives. To mitigate such risks, flexible debris-resisting barriers are constructed and regularly inspected, a task known as slope inspection. Traditional manual inspections are costly and diffic…
  pubmed Liu W, Ren Y, Guo R, Kong VWW 等 2025 Aug 11 置信度 0.82
• Design, assembly, and tuning of a multipurpose FPV drone: A flexible and low-cost alternative.
  This article details the design, assembly, and tuning of a multipurpose FPV (First Person View) drone designed as a budget-friendly and customizable alternative to professional-grade drone model. Built with a focus on performance, adaptability, durability, and…
  pubmed Arenas Mamani FA, Capira Malcoaccha GB, Blanco Quicaño MA, Prado Gutierrez LG 等 2025 Sep 置信度 0.82
• Optimization of helicopter and UAV coordinated SAR time.
  The optimization of total helicopter-unmanned aerial vehicle (UAV) coordinated search-and-rescue (SAR) time to buy time for follow-up rescue activities is an important problem in air rescue that needs to be solved. In this study, helicopter was used as a carri…
  pubmed Zhang M, Huo Y, Zhang H, Duan J 等 2025 Aug 9 置信度 0.82
• Revolutionizing Disaster Management: A Scoping Review of Drone Technology and Informatics in Humanitarian Response.
  Drones, or unmanned aerial vehicles (UAVs), are transforming humanitarian operations by providing solutions for disaster relief, medical logistics, and aid delivery in challenging environments. This scoping review explores UAV applications in humanitarian cont…
  pubmed El-Sakka A, Osman A, Househ M 2025 Aug 7 置信度 0.82
• Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles.
  This dataset presents multiaxial vibration signals collected from a multirotor unmanned aerial vehicle (UAV) operating in hover mode for the purpose of blade fault diagnosis. Vibration measurements were recorded at the geometric center of the UAV, where the ce…
  pubmed Al-Haddad LA, Jaber AA, Hamzah MN, Kraiem H 等 2025 Aug 7 置信度 0.82
• Bacillus-based inoculants enhance drought resilience in soybean: agronomic performance and remote sensing analysis from multi-location trials in Brazil.
  Climate change exacerbates drought stress, posing challenges to global soybean grain yield. This study assesses the effectiveness of microbial inoculants derived from two Bacillus velezensis (strains 5D5, 6E9) and one Bacillus subtilis (strain 1A11), which wer…
  pubmed Vasconcelos JCS, Arantes CS, Gomes EA, de Oliveira-Paiva CA 等 2025 置信度 0.82
• Molecular Characterization of Composition and Volatility of Ambient Organic Aerosol Sampled by an UAV-Mounted Portable Aethalometer.
  Aethalometers are commonly used to measure light absorption by brown carbon (BrC) components of organic aerosols (OA), but they offer limited insight into OA composition. In this study, an unmanned aerial vehicle (UAV) was equipped with a microaethalometer and…
  pubmed Xie Q, Windwer E, Morton IS, Lavin KE 等 2025 Aug 19 置信度 0.82
• ALPD-Net: a wild licorice detection network based on UAV imagery.
  Licorice has significant medicinal and ecological importance. However, prolonged overharvesting has resulted in twofold damage to wild licorice resources and the ecological environment. Thus, precisely determining the distribution and growth condition of wild …
  pubmed Yang J, Qin H, Dai J, Zhang G 等 2025 置信度 0.82
• Hybrid path planning algorithm for underactuated AUV based on RRT star and APF.
  To address the kinematic constraints and real-time requirements of autonomous underwater vehicle (AUV), this paper proposes a novel path planning algorithm: Directional Cone and Goal-Biased Dynamic Artificial Potential Field RRT* (DCGB-DAPF-RRT*). The algorith…
  pubmed Zhang B, Su Y, Sun S, Luo W 等 2025 Aug 5 置信度 0.82
• Records of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China.
  Global climate change has led to the frequent extreme meteorological events in recent years, triggering severe clustered landslides in mountainous regions. Records of these clustered landslides not only provide post-disaster statistics but also play a crucial …
  pubmed Fu Z, Wang F, Ma H, You Q 等 2025 Aug 5 置信度 0.82
• Enhanced Q learning and deep reinforcement learning for unmanned combat intelligence planning in adversarial environments.
  This study proposes a multimodal deep reinforcement learning (MDRL) architecture, Multimodal Deep Reinforcement Learning-Deep Q-Network (MDRL-DQN), based on an improved Q-Learning algorithm. It aims to optimize Unmanned Aerial Vehicle (UAV) scheduling and exec…
  pubmed Jianhong X, Gongqian L 2025 Aug 4 置信度 0.82
• Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles.
  Unmanned aerial vehicles (UAVs) become increasingly available devices with extensive usage as environmental monitoring systems. With the benefit of higher mobility, UAVs are applied to fuel various significant uses in computer vision (CV), providing more effec…
  pubmed Alrayes FS, Ahmad N, Alshuhail A, Alshammeri M 等 2025 Aug 2 置信度 0.82
• Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution.
  In the realm of unmanned aerial vehicles, we proposed an enhanced small target detection algorithm, MGAC-YOLO, to address the challenges of missed detections and low accuracy associated with small target identification. Initially, we designed the MConv (Multi-…
  pubmed Li X, Zhang H, Hang Y, Chen H 2025 置信度 0.82
• Neural Plasticity Induced by Working Memory Training: Insights From Cortical Microstructure and Transcriptional Profiles.
  To investigate the effects of an 8-week standardized computerized working memory training (WMT) program on cortical microstructure, morphometric similarity network (MSN) changes, and associated genetic factors in healthy adults.
  pubmed Zhang T, Gao Y, Li Y, Wu L 等 2025 Aug 置信度 0.82
• A YOLOv7-based method for crown extraction from UAV imagery.
  In response to the challenges of complex background interference, inadequate feature utilization, and model redundancy in multispectral crown extraction, this paper proposes a dual-channel crown detection and segmentation approach based on an improved YOLOv7 a…
  pubmed Shen P, Xue H, Li T, Mei K 等 2025 Jul-Sep 置信度 0.82
• The pipelines of deep learning-based plant image processing.
  Recent advancements in data science and artificial intelligence have significantly transformed plant sciences, particularly through the integration of image recognition and deep learning technologies. These innovations have profoundly impacted various aspects …
  pubmed Hong K, Zhou Y, Han H 2025 置信度 0.82
• The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model.
  Transpiration is the dominant process driving water loss in crops, significantly influencing their growth, development, and yield. Efficient monitoring of transpiration rate (Tr) is crucial for evaluating crop physiological status and optimizing water manageme…
  pubmed Yang X, Zhang Z, Xu Q, Dong N 等 2025 Jul 17 置信度 0.82
• UAV-Based Automatic Detection of Missing Rice Seedlings Using the PCERT-DETR Model.
  Due to the limitations of the sowing machine performance and rice seed germination rates, missing seedlings inevitably occur after rice is sown in large fields. This phenomenon has a direct impact on the rice yield. In the field environment, the existing metho…
  pubmed Gao J, Tan F, Hou Z, Li X 等 2025 Jul 13 置信度 0.82
• MCFA: Multi-Scale Cascade and Feature Adaptive Alignment Network for Cross-View Geo-Localization.
  Cross-view geo-localization (CVGL) presents significant challenges due to the drastic variations in perspective and scene layout between unmanned aerial vehicle (UAV) and satellite images. Existing methods have made certain advancements in extracting local fea…
  pubmed Hou K, Tong Q, Yan N, Liu X 等 2025 Jul 21 置信度 0.82
• Alpine Meadow Fractional Vegetation Cover Estimation Using UAV-Aided Sentinel-2 Imagery.
  Fractional Vegetation Cover (FVC) is a crucial indicator describing vegetation conditions and provides essential data for ecosystem health assessments. However, due to the low and sparse vegetation in alpine meadows, it is challenging to obtain pure vegetation…
  pubmed Du K, Shao Y, Yao N, Yu H 等 2025 Jul 20 置信度 0.82
• Dynamic Bearing-Angle for Vision-Based UAV Target Motion Analysis.
  The Bearing-Angle algorithm effectively improves the observability of vision-based motion estimation for moving targets by combining the dimensional information of target detection frames. However, the robustness of this algorithm will be significantly reduced…
  pubmed Luo Y, Fu H, Fu T, Cha H 等 2025 Jul 14 置信度 0.82
• Video Instance Segmentation Through Hierarchical Offset Compensation and Temporal Memory Update for UAV Aerial Images.
  Despite the pivotal role of unmanned aerial vehicles (UAVs) in intelligent inspection tasks, existing video instance segmentation methods struggle with irregular deforming targets, leading to inconsistent segmentation results due to ineffective feature offset …
  pubmed Huang Y, Zhang Y, He Z, Deng Y 2025 Jul 9 置信度 0.82
• Exploring the Functional Properties of Leaves of Moringa oleifera Lam. Cultivated in Sicily Using Precision Agriculture Technologies for Potential Use as a Food Ingredient.
  This study aimed to evaluate the microbiological quality and functional properties of Moringa oleifera Lam. leaves from plants cultivated in Sicily, with the objective of exploring their potential use in functional food production. Precision agriculture techni…
  pubmed Greco C, Serio G, Viola E, Barbera M 等 2025 Jun 27 置信度 0.82
• An improved numerical model for landslide-induced waves and its application to the Huangtian landslide in the XW reservoir, China.
  Landslides are one of the most common types of geological disasters. However, the waves generated by landslides often cause more severe damage than the landslides themselves. This paper proposes an improved numerical model for landslide-induced waves. The mode…
  pubmed Yue X, Dai F, Ke Z, Zhu J 等 2025 Jul 28 置信度 0.82
• Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.
  Uncrewed aerial vehicles (UAVs) have become essential for remote sensing in extreme environments like Antarctica, but detecting moss and lichen using conventional red, green, blue (RGB) and multispectral sensors remains challenging. This study investigates the…
  pubmed Sandino J, Barthelemy J, Doshi A, Randall K 等 2025 Jul 26 置信度 0.82
• Finite-time fault-tolerant tracking control for a QUAV with mixed faults and external disturbances based on adaptive global fast terminal sliding mode neural network control method.
  This paper addresses the finite-time tracking control problem for a class of quadrotor unmanned aerial vehicle (QUAV) subject to unknown mixed faults and external disturbances. The considered mixed faults include both input quantization and actuator faults. Fi…
  pubmed Zhang X, Feng C, Zhou Y, Deng X 2025 Jul 26 置信度 0.82
• Quantifying the severity of Marssonina blotch on apple leaves: development and validation of a novel spectral index.
  Apple Marssonina blotch (AMB) is a major disease causing pre-mature defoliation. The occurrence of AMB will lead to serious production decline and economic losses. The precise identification of AMB outbreaks and the measurement of its severity are essential fo…
  pubmed Zhang W, Zhang C, Chen R, Xu B 等 2025 Jul 25 置信度 0.82
• Assessing 3-D variability of ultrafine particle using a Geo-AI modelling approach: A case study in Zhunan-Miaoli, Taiwan.
  Previous air pollution modeling studies have predominantly emphasized horizontal distributions, overlooking the critical vertical variability of pollutant concentrations in urban environments. Therefore, the three-dimensional (3-D) behavior of air pollutants, …
  pubmed Hsu CW, Chern YR, Su JJ, Wong PY 等 2025 Oct 15 置信度 0.82
• OrchardQuant-3D: combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards.
  Orchard fruits such as pear and apple are important for ensuring global food security and agricultural economy as they not only provide essential nutrients, but also support biodiversity and ecosystem services. Breeders, growers and plant researchers constantl…
  pubmed Xia Y, Li H, Zhang F, Sun G 等 2025 Nov 置信度 0.82
• Secure trajectory planning for UAVs in dynamic target tracking against undetectable sensor and actuator attacks.
  This paper addresses the challenge of designing a secure flight trajectory for the unmanned aerial vehicle (UAV) in an adversarial environment. The main goal is to ensure the UAV can maintain the predetermined trajectory even when subjected to undetectable att…
  pubmed Yue W, Zhang X, Liu Z 2025 Nov 置信度 0.82
• Immersion and invariance adaptive controller and mixer for coaxial tilt-rotor UAV.
  This study presents a motion control system for a coaxial tilt-rotor (CTR) unmanned aerial vehicle (UAV) equipped with two CTR modules and a tail rotor. The existing adaptive control strategies for CTRUAVs fail to guarantee the theoretical convergence of estim…
  pubmed Chen L, Jia Y, Sun S, Lv Z 等 2025 Nov 置信度 0.82
• Stratification of insect diversity and daily activity patterns in the West African virgin forest Taï assessed by entomological Lidar.
  Lidar technology was utilized to non-destructively explore the diverse insect life in the Taï virgin forest of Côte d'Ivoire. This study employed an entomological Lidar scanned at different elevation angles, combined with traditional insect trapping …
  pubmed Månefjord H, Yamoa AS, Gbogbo YA, Müller L 等 2025 Jul 15 置信度 0.82
• PPAC-Pilot: Prescribed-performance augmented control for fixed-wing autopilots.
  This study introduces a Prescribed-Performance Augmented Control (PPAC) framework designed for fixed-wing Unmanned Aerial Vehicle (UAV) autopilots. The PPAC strategy aims to enhance, rather than replace, existing PID control loops in open-source autopilots. Al…
  pubmed Tian Q, Wang Z, Hu T 2025 Oct 置信度 0.82
• A crack detection and quantification method using matched filter and photograph reconstruction.
  Crack detection is a critical task for bridge maintenance and management. While popular deep learning algorithms have shown promise, their reliance on large, high-quality training datasets, which are often unavailable in engineering practice, limits their appl…
  pubmed Zhen-Liang L, An Z, Xin-Ru R, Yun-Peng W 等 2025 Jul 12 置信度 0.82
• Restoring Anomalous Water Surface in DOM Product of UAV Remote Sensing Using Local Image Replacement.
  In the production of a digital orthophoto map (DOM) from unmanned aerial vehicle (UAV)-acquired overlapping images, some anomalies such as texture stretching or data holes frequently occur in water areas due to the lack of significant textural features. These …
  pubmed Wang C, Zhang T, Tao L, Lin J 2025 Jul 7 置信度 0.82
• Rice Canopy Disease and Pest Identification Based on Improved YOLOv5 and UAV Images.
  Traditional monitoring methods rely on manual field surveys, which are subjective, inefficient, and unable to meet the demand for large-scale, rapid monitoring. By using unmanned aerial vehicles (UAVs) to capture high-resolution images of rice canopy diseases …
  pubmed Zhao G, Lan Y, Zhang Y, Deng J 2025 Jun 30 置信度 0.82
• UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning.
  In recent research on path planning for cellular-connected Unmanned Aerial Vehicles (UAVs), leveraging navigation models based on complex networks and applying the A* algorithm has emerged as a promising alternative to more computationally intensive methods, s…
  pubmed Chai Y, Wang Y, Yang X, Im SK 等 2025 Jun 29 置信度 0.82
• Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning.
  All current transportation systems (vehicles, trucks, planes, etc.) rely on the Global Positioning System (GPS) as their main navigation technology. GPS receivers collect signals from multiple satellites and are able to provide more or less accurate positionin…
  pubmed Mouzai M, Riahla MA, Keziou A, Fouchal H 2025 Jun 28 置信度 0.82
• UAV-Based Yield Prediction Based on LAI Estimation in Winter Wheat (Triticum aestivum L.) Under Different Nitrogen Fertilizer Types and Rates.
  The rapid and accurate prediction of crop yield and the construction of optimal yield prediction models are important for guiding field-scale agronomic management practices in precision agriculture. This study selected the leaf area index (LAI) of winter wheat…
  pubmed Guo J, Zeng X, Ma Q, Yuan Y 等 2025 Jun 29 置信度 0.82
• Dataset for: Soliton Gas Dynamics and Rogue Wave Enhancement in a Natural Coastal Environment
  This repository contains the dataset reported in the article "Soliton Gas Dynamics and Rogue Wave Enhancement in a Natural Coastal Environment" by Cienfuegos et al. (2025), https://doi.org/10.1103/9zhq-j1sj The dataset contains:•⁠ ⁠Bottom-moored pressure signa…
  datacite Cienfuegos, Rodrigo, Catalan, Patricio, Flores, Raul P., Guerra, Maricarmen 等 2025 置信度 0.66 Infragravity wavessoliton gasrogue wavesIntermittently Open/Closed Estuaries
• Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks
  6G wireless networks aim to exploit semantic awareness to optimize radio resources. By optimizing the transmission through the lens of the desired goal, the energy consumption of transmissions can also be reduced, and the latency can be improved. To that end, …
  datacite Al-Hameed, Aubida A., Qazzaz, Mohammed M. H., Hafeez, Maryam, Zaidi, Syed A. 2025 置信度 0.66 Systems and Control (eess.SY)Machine Learning (cs.LG)Networking and Internet Architecture (cs.NI)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Object Identification Under Known Dynamics: A PIRNN Approach for UAV Classification
  This work addresses object identification under known dynamics in unmanned aerial vehicle applications, where learning and classification are combined through a physics-informed residual neural network. The proposed framework leverages physics-informed learnin…
  datacite Aung, Nyi Nyi, Muralles, Neil, Stein, Adrian 2025 置信度 0.66 Machine Learning (cs.LG)Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• RL-based Trajectory Optimization of UAV-enabled Joint Communication, Sensing and Power Transfer
  In this work, an integrated communication, sensing and power transfer (ICSPT) system is investigated, which is assisted by the employment of an unmanned aerial vehicle (UAV) acting as a base station. Under this system, the optimization of the UAV trajectory is…
  datacite Nicolaides, Andreas, Psomas, Constantinos, Krikidis, Ioannis 2025 置信度 0.66 Integrated communication-sensing-power transferunmanned aerial vehiclereinforcement learningMarkov decision processoptimization
• RL-based Trajectory Optimization of UAV-enabled Joint Communication, Sensing and Power Transfer
  In this work, an integrated communication, sensing and power transfer (ICSPT) system is investigated, which is assisted by the employment of an unmanned aerial vehicle (UAV) acting as a base station. Under this system, the optimization of the UAV trajectory is…
  datacite Nicolaides, Andreas, Psomas, Constantinos, Krikidis, Ioannis 2025 置信度 0.66 Integrated communication-sensing-power transferunmanned aerial vehiclereinforcement learningMarkov decision processoptimization
• An open flame and smoke detection dataset for deep learning in remote sensing based fire detection
  FASDD is a largest and most generalized Flame And Smoke Detection Dataset for object detection tasks, characterized by the utmost complexity in fire scenes, the highest heterogeneity in feature distribution, and the most significant variations in image size an…
  datacite Wang, Ming, Yue, Peng, Liangcun Jiang, Dayu Yu 等 2025 置信度 0.66 Computer science and technologyEnvironmental science and resources science and technologySurveying and mapping science and technologyAerospace science and technologyfire dataset benchmark
• Relative Localization of UAV Swarms in GNSS-Denied Conditions
  Relative localization of unmanned aerial vehicle (UAV) swarms in global navigation satellite system (GNSS) denied environments is essential for emergency rescue and battlefield reconnaissance. Existing methods suffer from significant localization errors among …
  datacite Lei, Guangyu, Ping, Yuqi, Liang, Tianhao, Ding, Huahao 等 2025 置信度 0.66 Signal Processing (eess.SP)Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringH.4.3