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    Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

    Published 2025-05-01
    “…However, the detection of small vascular bundles from cross-sectional images is challenging due to their tiny size and the noisy background typically present in microscopy images.MethodsTo address these challenges, we propose Rice-SVBDete, a specialized deep learning-based detection algorithm for small vascular bundles in rice stem cross-sections. …”
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  3. 403

    Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

    Published 2025-05-01
    “…;Results and Discussions1) The network structure of the improved algorithm is proposed, and the principles and components of each improvement are introduced. …”
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    Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

    Published 2024-12-01
    “…Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. This research addresses these gaps by proposing a novel, reproducible framework for SES boundary delineation that integrates both vector and raster data, utilizing advanced spatial optimization techniques and dimension reduction algorithms like UMAP to manage the non-linear characteristics of SES. …”
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    An analysis of spatial changes in the manufacturing industry in china’s three major urban clusters from 2015 to 2019 using POI data by Chenxi Jin, Chenjing Fan, Yiwen Gong, Xinran Huang, Shiqi Li, Runhan Liu, Chunwei Guo, Yuxin Liu

    Published 2025-03-01
    “…Here, we analyzed spatial patterns of the manufacturing industry using point-of-interest (POI) data and a machine learning classification algorithm based on the Naive Bayes classifier. …”
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    Influence of micro-topography on the spatial heterogeneity of above-ground biomass: Lessons from the Qinglan Port Mangrove Nature Reserve, China by Meihuijuan Jiang, Penghua Qiu, Dezhi Wang, Minghui Wu, Ruiquan Lai, Xinqing Zou, Tingting Si, Hui Li, Qidong Shi, Yi Lin, Genzong Xie, Yanli Yang, Siang Wan

    Published 2025-07-01
    “…We employed the random forest algorithm to map the spatial distribution of mangrove above-ground biomass (AGB), and used geographic detectors and structural equation model (SEM) to study micro-topography’s impact on AGB spatial differentiation. …”
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  17. 417

    Maintaining environmental context and geoprivacy protection in agriculture by Parvaneh Nowbakht, Lilian O’Sullivan, David P. Wall, Paul Holloway

    Published 2025-06-01
    “…The results of this research should be of wide interest to those working in agri-environmental research and computer science, and be of relevance to researchers, data managers, and practitioners.…”
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    Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

    Published 2025-08-01
    “…Additionally, most existing models are not scalable and fail under changing environmental conditions because of a lack of generalization. In this research, a spatial monitoring platform that combines LiDAR point clouds with high-resolution imagery through RandLA-Net is presented for semantic segmentation and hazard detection. …”
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  20. 420

    A Multi-Spatial-Scale Ocean Sound Speed Profile Prediction Model Based on a Spatio-Temporal Attention Mechanism by Shuwen Wang, Ziyin Wu, Shuaidong Jia, Dineng Zhao, Jihong Shang, Mingwei Wang, Jieqiong Zhou, Xiaoming Qin

    Published 2025-04-01
    “…Marine researchers rely heavily on ocean sound velocity, a crucial hydroacoustic environmental metric that exhibits large geographical and temporal changes. …”
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