Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks. by Guntaga Logavitool, Teerayut Horanont, Aakash Thapa, Kritchayan Intarat, Kanok-On Wuttiwong

“…This study introduces a new pipeline specifically designed for detecting BLB in rice fields using unmanned aerial vehicle (UAV) imagery. Employing the U-Net architecture with a ResNet-101 backbone, we explore three band combinations-multispectral, multispectral+NDVI, and multispectral+NDRE-to achieve superior segmentation accuracy. …”
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A Review of Supply Chain Resilience: A Network Modeling Perspective by Chuhan Ma, Lei Zhang, Liang You, Wenjie Tian

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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…Abstract The railway track extraction using unmanned aerial vehicle (UAV) aerial images suffers from issues such as low extraction accuracy and high time consumption. …”
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UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design by Jin Dai, Yunfei Gao, Chao Cai, Wei Xiong, Manjia Liu

“…Unmanned aerial vehicle (UAV)-enabled inspection is regarded as a promising technology in the electricity system. …”
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Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li, Fei Li

“…With the wide application of Residence Time Difference (RTD) fluxgate sensors in Unmanned Aerial Vehicle (UAV) aeromagnetic measurements, the requirements for their measurement accuracy are increasing. …”
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Towards Efficient Object Detection in Large-Scale UAV Aerial Imagery via Multi-Task Classification by Shuo Zhuang, Yongxing Hou, Di Wang

“…Achieving rapid and effective object detection in large-scale unmanned aerial vehicle (UAV) images presents a challenge. …”
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Shoot complexes on the apical part of the crown of generative <i>Fraxinus excelsior</i> L. trees by I. S. Antonova, M. S. Televinova

“…The lengths of internodes and shoots, the numbers of leaves and branchings, and shoot development patterns were analyzed. An unmanned aerial vehicle was employed to examine the treetops. …”
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UAV–UGV Formation for Delivery Missions: A Practical Case Study by Leonardo A. Fagundes-Júnior, Celso O. Barcelos, Amanda Piaia Silvatti, Alexandre S. Brandão

“…Two off-the-shelf unmanned ground vehicles (UGVs) working cooperatively with one unmanned aerial vehicle (UAV) are used to validate the proposal. …”
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FAMHE-Net: Multi-Scale Feature Augmentation and Mixture of Heterogeneous Experts for Oriented Object Detection by Yixin Chen, Weilai Jiang, Yaonan Wang

“…Object detection in remote sensing images is essential for applications like unmanned aerial vehicle (UAV)-assisted agricultural surveys and aerial traffic analysis, facing unique challenges such as low resolution, complex backgrounds, and the variability of object scales. …”
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Solar Induced Fluorescence Retrieved from Avocado (Persea americana Mill.) Canopies Along the Season Correlates with Sugar Levels in the Developing Fruit by S. Vitrack-Tamam, H. Yasuor, D. Hamus-Cohen, R. Erel, L. Rubinovich, O. Liran

“…In this study, a non-imager point spectroradiometer was mounted on a UAV (Unmanned Aerial Vehicle) system (SIF-UAV), and retrieved SIF at high spatial resolution, which is fitted for precision agriculture applications. …”
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Application of Comprehensive Geophysical Prospecting Method in the Exploration of Coal Mined-Out Areas by Xiao Luo, Shuang Gong, Zhonggang Huo, Hongyan Li, Xinpin Ding

“…If the distribution law and influence scope of mined-out areas cannot be accurately explored and controlled, it will bring great potential safety hazards to subsequent coal mining and cause serious harm to adjacent houses, roads, bridges, railways, and so on. The unmanned aerial vehicle (UAV) aerial survey is used to accurately acquire the three-dimensional model of the slope in the key area of Yuanbaoshan open-pit coal mine, which provides basic information for the real-time visualization of the open-pit mine and the establishment of the engineering geological research profile. …”
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Surface Multi-Hazard Effects of Underground Coal Mining in Mountainous Regions by Xuwen Tian, Xin Yao, Zhenkai Zhou, Tao Tao

“…Taking a coal mine in southwestern China as a case study, a detailed catalog of the surface hazards in the study area was created based on multi-temporal satellite imagery interpretation and Unmanned aerial vehicle (UAV) surveys. Using interferometric synthetic aperture radar (InSAR) technology and the logistic subsidence prediction method, this study investigated the evolution of surface subsidence induced by underground mining activities and its impact on the triggering of multiple surface hazards. …”
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Secrecy-Constrained UAV-Mounted RIS-Assisted ISAC Networks: Position Optimization and Power Beamforming by Weichao Yang, Yajing Wang, Dawei Wang, Yixin He, Li Li

“…This paper investigates secrecy solutions for integrated sensing and communication (ISAC) systems, leveraging the combination of a reflecting intelligent surface (RIS) and an unmanned aerial vehicle (UAV) to introduce new degrees of freedom for enhanced system performance. …”
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Comparative Assessment of the Effect of Positioning Techniques and Ground Control Point Distribution Models on the Accuracy of UAV-Based Photogrammetric Production by Muhammed Enes Atik, Mehmet Arkali

“…Unmanned aerial vehicle (UAV) systems have recently become essential for mapping, surveying, and three-dimensional (3D) modeling applications. …”
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A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

“…Abstract With the development of Unmanned Aerial Vehicle (UAV) technology towards multi-UAV and UAV swarm, multi-UAV cooperative task allocation has more and more influence on the success or failure of UAV missions. …”
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Multi-Strategy Enhanced Slime Mould Algorithm for Optimization Problems by Zaixin Duan, Xuezhong Qian, Wei Song

“…Finally, the algorithm was applied to a real-world unmanned aerial vehicle (UAV) path planning problem, where QCMSMA achieved the best optimization performance compared to other algorithms, ranking first in terms of solution quality. …”
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Conceptual Design of an Unmanned Fixed-Wing Aerial Vehicle Based on Alternative Energy by Alan G. Escobar-Ruiz, Omar Lopez-Botello, Luis Reyes-Osorio, Patricia Zambrano-Robledo, Luis Amezquita-Brooks, Octavio Garcia-Salazar

“…This paper focuses on the aerodynamics and design of an unmanned aerial vehicle (UAV) based on solar cells as a main power source. …”
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Integrated high-precision real scene 3D modeling of karst cave landscape based on laser scanning and photogrammetry by Congyuan Zhang, Jianping Chen, Ping Li, Sipeng Han, Jie Xu

“…By combining ground-based and aerial remote sensing techniques, and based on 3D laser scanning and photogrammetry, we have successfully constructed a real scene 3D model of the internal structure of a karst cave with a precision better than 4 cm. Utilizing Unmanned Aerial Vehicle (UAV) oblique photography, we established a real scene 3D model of the external karst landform with a precision better than 2 cm. …”
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Legume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass by Kensuke Kawamura, Tsuneki Tanaka, Taisuke Yasuda, Shoji Okoshi, Masaaki Hanada, Kazuya Doi, Toshiya Saigusa, Takanori Yagi, Kenji Sudo, Kenji Okumura, Jihyun Lim

“…This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ground surveys based on dry matter assessments in seven meadow fields in Hokkaido, Japan. …”
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Predictive Model of Granular Fertilizer Spreading Deposition Distribution Based on GA-GRNN Neural Network by Lilian Liu, Guobin Wang, Yubin Lan, Xinyu Xue, Suming Ding, Huizheng Wang, Cancan Song

“…In this paper, we investigate the particle deposition distribution characteristics in granular fertilizer spreading, establish a relationship model between operational parameters and particle deposition distribution, and design an unmanned aerial vehicle (UAV) fertilizer particle deposition prediction system based on neural network decision making, which provides a decision-making basis for the variable fertilizer application model under multifactorial interactions. …”
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