Deformation and movement characteristics of debris flow landslide: A case study of the Shaziba landslide in Enshi, China by Zijian SHI, Wen CHEN, Yifan SHENG, Guangli XU

“…To explore its kinematic features, such as velocity and displacement, during the Shaziba landslide’s sliding process and the evolving patterns of the landslide mass, a three-dimensional numerical model of the landslide was constructed using high-precision ortho-images obtained from unmanned aerial vehicles (drones). The parameters of the model were calibrated based on the mechanical properties of the landslide mass obtained from laboratory tests. …”
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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Remote sensing technology using satellite imagery and unmanned aerial vehicles (UAVs) reduces labor, but it is difficult to determine the species that are surrounded by a canopy in forests. …”
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UAV-Based Survey of the Earth Pyramids at the Kuklica Geosite (North Macedonia) by Ivica Milevski, Bojana Aleksova, Slavoljub Dragićević

“…Instead, new tools are increasingly being used for such tasks, including UAVs (unmanned aerial vehicles) and LiDAR (Light Detection and Ranging). …”
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Моделі самоорганізації колективу однорідних безпілотних літальних апаратів при рішенні слабоформалізованих завдань... by А.В. Тристан, Д.І. Жуков

“… The development and modernization of unmanned aerial vehicles (UAVs), their control systems, safety and regulation, expansion of functionality, miniaturization and increase of sensor performance, improvement of energy capabilities and routing process, increase of autonomy, contributes to the improvement of the performance of tasks. …”
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Multi-UAV Task Assignment in Dynamic Environments: Current Trends and Future Directions by Shahad Alqefari, Mohamed El Bachir Menai

“…The rapid advancement of unmanned aerial vehicles (UAVs) has transformed a wide range of applications, including military operations, disaster response, agricultural monitoring, and infrastructure inspection. …”
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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

“…Based on 73 measured samples, along with multispectral imagery and LiDAR data collected via unmanned aerial vehicles, machine learning techniques, including random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost), were employed to predict the SOC content of <italic>S. alterniflora</italic> and map its spatial distribution. …”
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Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion: A Case Study of Lanzhou Jiaotong University by Rui Gao, Guanghui Yan, Yingzhi Wang, Tianfeng Yan, Ruiting Niu, Chunyang Tang

“…Firstly, oblique photography based on unmanned aerial vehicles (UAVs) is used to capture large-scale, high-resolution images of the campus area, which are then processed using open-source software to generate an initial 3D model. …”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…Multispectral sensors mounted on unmanned aerial vehicles (UAVs) can obtain high spatiotemporal resolution imagery of rubber plantations, offering significant advantages in capturing fine structural details and heterogeneity. …”
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A Pine Wilt Disease Detection Model Integrated with Mamba Model and Attention Mechanisms Using UAV Imagery by Minhui Bai, Xinyu Di, Lechuan Yu, Jian Ding, Haifeng Lin

“…This paper presents a fusion model, which integrates the Mamba model and the attention mechanism, for deployment on unmanned aerial vehicles (UAVs) to detect infected pine trees. …”
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Design of Command and Dispatch System for Automatic Reading of Meter Images in Substations by UAV Inspection Photos by Guanghong Deng, Liangpei Lin, Baihao Lin, Wenlong Jing, Xiaodan Zhao, Yong Li, Rui Yang, Shidun Xie, Pengfeng Wei

“…The application of the combination of unmanned aerial vehicles (UAVs) and artificial intelligence is a hot topic in the intelligent inspection of substations, and meter reading is a very challenging task. …”
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Novel image registration algorithm for scene-matching navigation by Hongrui YANG, Qiju ZHU, Peixian CAO, Hao GU, Dongdong ZHAO

“…High-precision positioning and navigation technology are crucial for the autonomous operation of unmanned aerial vehicles (UAVs), enabling them to determine their location and navigate to predetermined destinations without human intervention. …”
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Framework for smartphone-based grape detection and vineyard management using UAV-trained AI by Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, Antonio Carlos Cob-Parro, Miquel Mila, João Valente

“…On one hand, drone, or Unmanned Aerial Vehicles (UAV) imagery combined with deep learning algorithms has revolutionised agriculture by automating plant health classification, disease identification, and fruit detection. …”
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DEVELOPING INFORMATION AND TECHNOLOGICAL COMPETENCE OF PROSPECTIVE MILITARY SAILORS by Ruslan Shevchenko, Oleh Cherniavskyi, Vasyl Shemchuk, Olena Zlobina, Natalia Benkovska, Nataliia Terentieva, Андрій Гуралюк

“…In the framework of our research we understand this competence as an integral quality of a person which combines motivation, knowledge, skills, experience in the use of modern information technologies during professional activities related to the performance of duties of future officers of the Ukrainian Navy of the Armed Forces of Ukraine (including  management of combat modules, unmanned aerial vehicles, digital weapons, the possibility of using artificial intelligence in combat systems, ensuring cyber security of weapons and military equipment, etc.). …”
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Estimating stomatal conductance of citrus orchard based on UAV multi-modal information in Southwest China by Quanshan Liu, Zongjun Wu, Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Zhihui Wang, Daozhi Gong, Yaosheng Wang, Lu Zhao, Renjuan Wei

“…High spatiotemporal resolution multimodal remote sensing data from unmanned aerial vehicles (UAV) offers great potential for accurately predicting crop stomatal conductance to monitor crop water stress. …”
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Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik by Endra Joelianto, Winarendra Satya Rajasa, Agus Samsi

“…Abstract The quadrotor is a type of take-off or vertical landing unmanned aerial vehicles with a cross shape and has one rotor at each end of its arm with high maneuverability. …”
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High-Throughput Phenotyping for Agronomic Traits in Cassava Using Aerial Imaging by José Henrique Bernardino Nascimento, Diego Fernando Marmolejo Cortes, Luciano Rogerio Braatz de Andrade, Rodrigo Bezerra de Araújo Gallis, Ricardo Luis Barbosa, Eder Jorge de Oliveira

“…Large-scale phenotyping using unmanned aerial vehicles (UAVs) has been considered an important tool for plant selection. …”
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Dense Nursery Stock Detecting and Counting Based on UAV Aerial Images and Improved LSC-CNN by PENG Xiaodan, CHEN Fengjun, ZHU Xueyan, CAI Jiawei, GU Mengmeng

“…Low-cost and convenient unmanned aerial vehicles (UAVs) for on-site collection of nursery stock data are beginning to be utilized, and the statistical analysis of nursery stock information through technical means such as image processing achieved. …”
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