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Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9

• Authors : Jayakrishnan Anandakrishnan; Arun Kumar Sangaiah; Hendri Darmawan

Subjects: Deep learning; precision agriculture; remote sensing

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 2226-2238 (2025)

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Implementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada.

• Authors : Lachgar, Abdelkrim^1,2 (AUTHOR) ; Mulla, David J.¹ (AUTHOR) ; Adamchuk, Viacheslav³ (AUTHOR)

• Source: Agronomy. Apr2024, Vol. 14 Issue 4, p693. 35p.

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基于遥感技术的土壤质地空间预测方法研究进展.

• Authors : 汪甜甜¹ ; 丁琪洵¹; 梅帅¹

• Source: Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao. 2023, Vol. 40 Issue 6, p1415-1425. 11p.

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Tree-Structured Parzan Estimator–Machine Learning–Ordinary Kriging: An Integration Method for Soil Ammonia Spatial Prediction in the Typical Cropland of Chinese Yellow River Delta with Sentinel-2 Remote Sensing Image and Air Quality Data.

• Authors : Song, Yingqiang¹ (AUTHOR); Ye, Mingzhu¹ (AUTHOR); Zheng, Zhao¹ (AUTHOR)

• Source: Remote Sensing. Sep2023, Vol. 15 Issue 17, p4268. 21p.

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Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China.

• Authors : Sheng, Yifan¹ (AUTHOR) ; Xu, Guangli^1,2 (AUTHOR) ; Jin, Bijing² (AUTHOR)

• Source: Remote Sensing. Nov2023, Vol. 15 Issue 21, p5256. 31p.

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Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning

• Authors : Noumonvi, Koffi Dodji; Sveriges lantbruksuniversitet, Originator

Subjects: Remote Sensing; Fjärranalysteknik

• Source: Remote Sensing. 15

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Incorporation of Fused Remote Sensing Imagery to Enhance Soil Organic Carbon Spatial Prediction in an Agricultural Area in Yellow River Basin, China.

• Authors : Xu, Yiming¹ (AUTHOR) ; Tan, Youquan¹ (AUTHOR); Abd-Elrahman, Amr^2,3 (AUTHOR)

• Source: Remote Sensing. Apr2023, Vol. 15 Issue 8, p2017. 16p.

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Geoparcel-Based Spatial Prediction Method for Grassland Fractional Vegetation Cover Mapping

• Authors : Tianjun Wu; Jiancheng Luo; Lijing Gao

Subjects: Fractional vegetation cover (FVC); geoparcel; grassland

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9241-9253 (2021)

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Spatial Prediction of Total Nitrogen in Soil Surface Layer Based on Machine Learning.

• Authors : Liu, Zunfang¹ (AUTHOR); Lei, Haochuan¹ (AUTHOR) ; Lei, Lei¹ (AUTHOR)

Subjects: *NITROGEN in soils; *PARTIAL least squares regression; *MACHINE learningQINGHAI Sheng (China)

• Source: Sustainability (2071-1050). Oct2022, Vol. 14 Issue 19, p11998-11998. 14p.

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Artificial intelligence and remote sensing for spatial prediction of daily air temperature: case study of Souss watershed of Morocco

• Authors : Modeste Meliho; Abdellatif Khattabi; Driss Zejli

Subjects: air temperature; remote sensing; machine learning

• Source: Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-15 (2022)

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