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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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…This study proposes a novel virtual-real-fusion simulation framework that integrates traffic accident generation, unmanned aerial vehicle (UAV)-based image collection, and a 3D traffic accident reconstruction pipeline with advanced computer vision techniques and unsupervised 3D point cloud clustering algorithms. …”
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Near-Fault Tilted Deformation of Buildings Associated with Coseismic Surface Ruptures in the Shenxigou Section, 2008 Mw 7.9 Wenchuan Earthquake, Eastern Tibet by Hao Xue, Hu Wang, Lin Deng, Kaijin Li, Jinlong Cai

“…Based on compass measurements, unmanned aerial vehicle data, ground-based lidar mapping, and numerical simulation, the study showed that twelve buildings within the two sides of the fault were damaged by tilted deformation. …”
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Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

“…Abstract Accurate segmentation of power line targets helps quickly locate faults, evaluate line conditions, and provides key image data support and analysis for the safe and stable operation of the power system.The aerial power line in segmentation due to the target is small, and the imaging reflected energy is weak, so the Unmanned Aerial Vehicle (UAV) aerial power line image is very susceptible to the interference of the environment line elements and noise, resulting in the detection of the power line target in the image of the defective, intermittent, straight line interferences and other low accuracy and real-time efficiency is not high. …”
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Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial by Zhengying Lou, Ruibo Wang, Baha Eddine Youcef Belmekki, Mustafa A. Kishk, Mohamed-Slim Alouini

“…Terrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of terrain information, summarizing and enhancing the research on terrain-based UAV deployment. …”
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Design of Ice Tolerance Flight Envelope Protection Control System for UAV Based on LSTM Neural Network for Detecting Icing Severity by Ting Yue, Xianlong Wang, Bo Wang, Shang Tai, Hailiang Liu, Lixin Wang, Feihong Jiang

“…Icing on an unmanned aerial vehicle (UAV) can degrade aerodynamic performance, reduce flight capabilities, impair maneuverability and stability, and significantly impact flight safety. …”
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A Novel Air-to-Ground Communication Scheme for Advanced Big Data Collection in Smart Farming Using UAVs by Georgios A. Kakamoukas, Thomas D. Lagkas, Vasileios Argyriou, Sotirios K. Goudos, Panagiotis Radoglou-Grammatikis, Stamatia Bibi, Panagiotis G. Sarigiannidis

“…The evolution of Flying Ad Hoc Networks (FANETs) demands the development of advanced routing protocols that can address the unique challenges associated with Unmanned Aerial Vehicle (UAV) missions. This paper proposes a novel Air-to-ground, Energy-awaRe, mission-Oriented protocol, leveraging Fuzzy Logic (AERO-FL), to enhance UAV cooperation and optimize network performance in deterministic scanning operations. …”
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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

“…This paper presents a dataset of RGB images captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) flying at an altitude of 11 m above ground level. …”
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Research on refined UAV inspection method of wind/solar power stations based on YOLOv8 by Jieyi Pu, Qifeng Zhang, Wenbo Zhao, Wei Zhang, Zengren Qin, Yumeng Zhang

“…Abstract More and more research is focusing on the unmanned aerial vehicle (UAV) inspection of onshore wind/solar power stations; however, how to balance the contradiction between detection accuracy and efficiency is still a challenge for domestic and international researches. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…This study investigates the use of unmanned aerial vehicle (UAV)-based multispectral imaging to detect broomrape-infected sunflowers by analyzing temporal patterns in spectral vegetation indices (VIs). …”
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YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

“…However, achieving high-throughput and precise pest detection in cotton fields remains a challenging task. Although unmanned aerial vehicle (UAV) enable the rapid acquisition of extensive crop images, detecting pests accurately from these images is difficult due to the small size of pests and background interference. …”
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Research on water and fertilizer irrigation system of tea plantation by Xuetao Jia, Ying Huang, Yanhua Wang, Daozong Sun

“…The images of the tea leaves are collected by the high-speed camera loaded onto the unmanned aerial vehicle for analysis of the tea deficiency. …”
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Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques by Xiaodong Hu, Bo Xia, Yongqi Guo, Yang Yin, Huihua Chen

“…In scenario 2, unmanned aerial vehicle data were employed to extract soil and water conservation measures via visual interpretation and overlay analysis. …”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…Images of maize canopies during the jointing, tasseling, and grouting stages were captured using unmanned aerial vehicle (UAV) remote sensing to extract color, texture, and wavelet features and to construct a color and texture feature dataset and a fusion of wavelet, color, and texture feature datasets. …”
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Combining UAV-Based Multispectral and Thermal Images to Diagnosing Dryness Under Different Crop Areas on the Loess Plateau by Juan Zhang, Yuan Qi, Qian Li, Jinlong Zhang, Rui Yang, Hongwei Wang, Xiangfeng Li

“…However, obtaining dryness information with adequate spatial and temporal resolution remains a significant challenge. Unmanned aerial vehicle (UAV) systems can capture high-resolution remote sensing images on demand, but the effectiveness of UAV-based dryness indices in mapping the high-resolution spatial heterogeneity of dryness across different crop areas at the agricultural field scale on the LP has yet to be fully explored. …”
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Cooperative Overbooking-Based Resource Allocation and Application Placement in UAV-Mounted Edge Computing for Internet of Forestry Things by Xiaoyu Li, Long Suo, Wanguo Jiao, Xiaoming Liu, Yunfei Liu

“…Due to the high mobility and low cost, unmanned aerial vehicle (UAV)-mounted edge computing (UMEC) provides an efficient way to provision computing offloading services for Internet of Forestry Things (IoFT) applications in forest areas without sufficient infrastructure. …”
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RGB Composition Obtained by a UAV in the Monitoring of Sugarcane Row Gaps Using the Biophysical Index by Camila G. B. de Melo, Mário M. Rolim, Roberta Q. Cavalcanti, Marcos V. da Silva, Ana Lúcia B. Candeias, Pabrício M. O. Lopes, Pedro F. S. Ortiz, Renato P. de Lima

“…The objective of this study was to establish an alternative methodology for measuring the planting and regrowth of sugarcane rows using UAV (Unmanned Aerial Vehicle) images and to compare it with manual measurements. …”
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Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm by Wenhao Xu, Xiaogang Liu, Jianhua Dong, Jiaqiao Tan, Xulei Wang, Xinle Wang, Lifeng Wu

“…To accurately and quickly predict citrus yield, this study obtained multispectral images of citrus fruit maturity through an unmanned aerial vehicle (UAV) and extracted multispectral vegetation indices (VIs) and texture features (T) from the images as feature variables. …”
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Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms by Mohammed Sani Adam, Nor Fadzilah Abdullah, Asma Abu-Samah, Oluwatosin Ahmed Amodu, Rosdiadee Nordin

“…The proposed method achieved up to 100% coverage in suburban settings with only eight unmanned aerial vehicle (UAV) swarms, and maintained superior performance in dense and high-rise urban environments, achieving 97% and 93% coverage, respectively, with 10 UAV swarms. …”
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Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

“…This study presents an accurate, reliable, and generalized method to estimate LCd, providing valuable insights for assessing the large-scale heavy metal pollution status of rice using unmanned aerial vehicle remote sensing technology.…”
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