يعرض 1 - 20 نتائج من 854 نتيجة بحث عن '"Geospatial Intelligence"', وقت الاستعلام: 0.62s تنقيح النتائج
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    Academic Journal

    المؤلفون: Tsioufis, Marios1 (AUTHOR), Fytopoulos, Antonios2,3 (AUTHOR), Kalaitzi, Dimitra4 (AUTHOR) d.kalaitzi3@aston.ac.uk, Alexopoulos, Thomas A.1 (AUTHOR)

    المصدر: Annals of Operations Research. Apr2024, Vol. 335 Issue 2, p861-883. 23p.

  2. 2
    Dissertation/ Thesis
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    Academic Journal

    المصدر: Remote Sensing Technology in Defense and Environment; Vol. 1 No. 2: (August) 2024; 56-66 ; 3062-8970 ; 10.61511/rstde.v1i2.2024

    مصطلحات موضوعية: geospatial intelligence, remote sensing, satellite imagery

    وصف الملف: application/pdf

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    Academic Journal

    المصدر: Remote Sensing Technology in Defense and Environment; Vol. 1 No. 2: (August) 2024; 45-55 ; 3062-8970 ; 10.61511/rstde.v1i2.2024

    مصطلحات موضوعية: climate change, geospatial intelligence, remote sensing

    وصف الملف: application/pdf

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    Academic Journal

    المصدر: Remote Sensing Technology in Defense and Environment; Vol. 1 No. 2: (August) 2024; 67-75 ; 3062-8970 ; 10.61511/rstde.v1i2.2024

    وصف الملف: application/pdf

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    Academic Journal
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    Academic Journal
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    Periodical

    المؤلفون: CARDILLO, ROBERT1

    المصدر: Vital Speeches of the Day. Sep2015, Vol. 81 Issue 9, p280-284. 5p.

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    Academic Journal
  13. 13
    Periodical

    المؤلفون: Silverstein, Sam

    المصدر: Grocery Dive. 7/2/2024, pN.PAG-N.PAG. 1p.

    مصطلحات موضوعية: *FOOD industry, GROCERIES

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    Academic Journal

    المصدر: The International Journal of Business Management and Technology, 6(1), 300-302, (2023-02-25)

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    Academic Journal

    المصدر: Ingeniería; Vol. 28 No. 3 (2023): September-December; e21035 ; Ingeniería; Vol. 28 Núm. 3 (2023): Septiembre-diciembre; e21035 ; 2344-8393 ; 0121-750X

    وصف الملف: application/pdf; text/xml

    Relation: https://revistas.udistrital.edu.co/index.php/reving/article/view/21035/19602; https://revistas.udistrital.edu.co/index.php/reving/article/view/21035/19845; G. Keaton, "LiDAR surveying technology advantages,"2021. [Online]. Available:https://ecko360industrial.com/2021/06/28/lidar-surveying-technology-advantages/; H. Yao, R. Qin, and X. Chen, Ünmanned aerial vehicle for remote sensing applications — A review,"Remote Sens., vol. 11, no. 12, art. 1443, 2019. https://www.mdpi.com/2072-4292/11/12/1443; C. Yinka-Banjo and O. Ajayi, "Sky-farmers: Applications of unmanned aerial vehicles (UAV) in agriculture,ïn Autonomous Vehicles, G. Dekoulis, Ed., London, UK: IntechOpen, 2019, ch. 6. https://doi.org/10.5772/intechopen.89488; J. Cuaran and J. Leon, Çrop monitoring using unmanned aerial vehicles: A review". Agricultural Reviews, vol. 42, no. 2, pp. 121-132, 2021. https://doi.org/10.18805/ag.R-180; M. Pashine and P. Mundhada, Ïmplementation of real time monitoring in the field of agriculture,"Int. Res. J. Eng. Technol., vol. 8, no. 12, pp. 665-669, 2021. https://www.irjet.net/archives/V8/i12/IRJET-V8I12114.pdf; Z. Yang et al.,ÜAV remote sensing applications in marine monitoring: Knowledge visualization and review,"Sci. Total Environ., vol. 838, part 1, art. 155939, 2022. https://doi.org/10.1016/j. scitotenv.2022.155939; P. Maddikunta, S. Hakak, M. Alazab, S. Bhattacharya, T. Gadekallu, W. Khan, and Q. Pham, Ünmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges,"IEEE Sens. J.,vol. 21, no. 16, pp. 17608-17619, 2021. https://doi.org/10.1109/JSEN.2021.3049471; J. Pavón, J. Gómez-Sanz, A. Fernández-Caballero, and J. Valencia-Jiménez, "Development of intelligent multisensor surveillance systems with agents,"Robotics Auton. Syst., vol. 55, no. 12, pp. 892-903, 2007. https://doi.org/10.1016/j.robot.2007.07.009; H.Abdullahi, F. Mahieddine, and R. Sheriff, "Technology impact on agricultural productivity: A review of precision agriculture using unmanned aerial vehicles,ïn Int. Conf. Wireless Sat. Syst., 2015, pp. 388-400. https://doi.org/10.1007/978-3-319-25479-1_29; S. Liaghat and S. Balasundram, .A review: The role of remote sensing in precision agriculture,"American J. Agricul. Biolog. Sci., vol. 5, no. 1, pp. 50-55, 2010. https://thescipubcom/pdf/ajabssp.2010.50.55.pdf; N. Yin, R. Liu, B. Zeng, and N. Liu,. A review: UAV-based remote sensing,"IOP Conf. Ser. Mater. Sci. Eng., vol. 490, art. 062014, 2019. https://iopscience.iop.org/article/10.1088/1757-899X/490/6/062014/pdf; A. Opeyemi and N. David, An RGB sensor-based aerial robotic platform for sustainable precision agriculture,"2020. [Online]. Available>https://ic-sd.org/wp-content/uploads/2020/11/Abioye-Ayodeji.pdf; S. Tzafestas, Introduction To mobile robot control, Amsterdam, The Netherlands: Elsevier, 2014. https://doi.org/10.1016/B978-0-12-417049-0.00012-2; P. Velusamy, S. Rajendran, R. Mahendran, S. Naseer, M. Shafiq, and J. Choi, Ünmanned aerial vehicles (UAV) in precision agriculture: Applications and challenges,"Energies,vol. 15, no. 1, art. 217, 2022. https://doi.org/10.3390/en15010217; A. Feng, J. Zhou, E. Vories, K. Sudduth, and M. Zhang, "Yield estimation in cotton using UAV-based multi-sensor imagery", Biosyst. Eng., vol. 193, pp. 101-114, 2020. https://doi.org/10.1016/j. biosystemseng.2020.02.014; A. Matese and S. Di Gennaro, "Practical applications of a multisensor UAV platform based on multispectral, thermal, and RGB high-resolution images in precision viticulture,""Agriculture, vol. 8, no. 7, art. 116, 2018. https://doi.org/10.3390/agriculture8070116; S. Di Gennaro et al., "Multisensor approach to assess vineyard thermal dynamics combining high-resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing,"Scientia Horticulturae, vol. 221, pp. 83-87, 2017. https://doi.org/10.1016/j. scienta.2017.04.024; P. Katsigiannis, L. Misopolinos, V. Liakopoulos, T. Alexandridis, and G. Zalidis, .An autonomous multi-sensor UAV system for reduced-input precision agriculture applications,ïn 2016 24th Med. Conf. Control Automation (MED), 2016, pp. 60-64. https://doi.org/10.1109/MED.2016.7535938; M. Nagai, T. Chen, A. Ahmed, and R. Shibasaki, ÜAV borne mapping by multi sensor integra-tion,"2008. [Online]. Available: https://www.isprs.org/proceedings/xxxvii/congress/1_pdf/207.pdf; F. Liu, J. Shan, B. Xiong, and F. Zheng, . A real-time and multi-sensor-based landing area recognition system for UAVs,"Drones, vol. 6, no. 5, art. 118, 2022. https://doi.org/10.3390/drones6050118; M. Stein, S. Bargoti, and J. Underwood, Ïmage based mango fruit detection, localisation and yield estimation using multiple view geometry,"Sensors, vol. 16, no. 11, art. 1915, 2016. https://doi.org/10.3390/s16111915; M. Maimaitijiang et al., Ünmanned aerial system (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine,"ISPRS J. Photogramm. Remote Sens., vol. 134, pp. 43-58, 2017. https://doi.org/10.1016/j.isprsjprs.2017.10.011; G. Bai, Y. Ge, W. Hussain, P. Baenziger, and G. Graef, .A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding,"Comp. Electronics Agricul., vol. 128, pp. 181-192, 2016. https://doi.org/10.1016/j.compag.2016.08.021; A. Comar, P. Burger, B. Solan, B. Frederic, F. Daumard, and H. Jean-François, .A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: Description and first results,"Funct. Plant Biol., vol. 39, no. 11, pp. 914-924, 2012. https://doi.org/10.1071/fp12065; P. Andrade-Sánchez et al., "Development and evaluation of a field-based high-throughput phenotyping platform,"Funct. Plant Biol., vol. 41, no. 1, pp. 68-79, 2014. https://doi.org/10. 1071/fp13126; E. Torres-Garzón, J. Guevara, and Y. Mendoza-Prieto, .Estudio sobre el desarrollo de un prototipo para monitoreo del espectro radioelectrónico utilizando SDR,"Revista Perspectivas En Inteligencia, vol. 14, no. 23, pp. 303-323, 2022. https://doi.org/10.47961/2145194X.344; M. Terán, J. Aranda, J. Marín, E. Uchamocha, and G. Corzo-Ussa, .A methodology for signals intelligence using non-conventional techniques and software-defined radio,"presented at the 2021 IEEE Col. Conf. Comm. Comp. (COLCOM), Cali, Colombia, May 26-28, 2021. https://doi.org/10. 1109/COLCOM52710.2021.9486297; B. Sharma and G. Ritchie, "High-throughput phenotyping of cotton in multiple irrigation environments,"Crop Sci., vol. 55, no. 2, pp. 958-969, 2015. https://doi.org/10.2135/cropsci2014.04.0310; R. Xu, C. Li, and S. Bernardes, "Development and testing of a UAV-based multi-sensor system for plant phenotyping and precision agriculture,"Remote Sens., vol. 13, no. 17, art. 3517, 2021. https://www.mdpi.com/2072-4292/13/17/3517; O. Montesinos-López et al., "Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data,"Plant Meth., vol. 13, art. 4, 2017. https://doi.org/10.1186/s13007-016-0154-2; S. Fei et al., ÜAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat,"Prec. Agricul., vol. 24, pp. 187-212, 2022. https://doi.org/10.1007/s11119-022-09938-8; M. Vlaminck, L. Diels, W. Philips, W. Maes, R. Heim, B. Wit, and H. Luong, .A multisensor UAV payload and processing pipeline for generating multispectral point clouds,"Remote Sens., vol. 15, no. 6, art. 1524, 2023. https://doi.org/10.3390/rs15061524; X. Li and A. Savkin, "Networked unmanned aerial vehicles for surveillance and monitoring: A survey,"Future Internet, vol. 13, no. 7, art. 174, 2017. https://doi.org/10.3390/fi13070174; A. Gupta, H. Gupta, P. Kumari, R. Mishra, S. Saraswat, and T. Dutta, .A real-time precision agriculture monitoring system using mobile sink in WSNs”, in 2018 IEEE Int. Conf. Adv. Net. Telecom. Syst. (ANTS), Indore, India, December 16-19, 2018. https://doi.org/10.1109/ANTS.2018.8710048; Y. Mendoza-Prieto, S. Sopo, and E. Torres-Garzón, .Evaluación de captadores fotovoltaicos para suministro complementario de energía en aeronaves remotamente tripuladas,"Revista Perspectivas en Inteligencia, vol. 12, no. 21, pp. 261-274, 2021. https://doi.org/10.47961/2145194X.226; J. Machado, "Software defined radio: Basic principles and applications,"Revista Facultad de Ingeniería, vol. 24, no. 38, pp. 79-96. http://www.scielo.org.co/pdf/rfing/v24n38/v24n38a07.pdf; K. Mallon, F. Assadian, and B. Fu, .Analysis of on-board photovoltaics for a battery electric bus and their impact on battery lifespan,"Energies, vol. 10, no. 7, art. 943, 2017. https://doi.org/10. 3390/en10070943; I. Acero et al., "Method for validating CubeSat satellite EPS through power budget analysis aligned With mission requirements,"IEEE Access, vol. 11, pp. 43316-43332, 2023. https://doi.org/10. 1109/ACCESS.2023.3271596; C. Wu, J. Fu, X. Huang, X. Xu, and J. Meng, "Lithium-ion battery health state prediction based on VMD and DBO-SVR,"Energies, vol. 16, no. 10, art. 3993, 2023. https://doi.org/10.3390/en16103993; https://revistas.udistrital.edu.co/index.php/reving/article/view/21035

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    Academic Journal
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    Academic Journal

    المصدر: Applied Sciences; Volume 13; Issue 5; Pages: 3268

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Earth Sciences and Geography; https://dx.doi.org/10.3390/app13053268

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    Academic Journal