المؤلفون: Chaolei Zheng, Li Jia, Massimo Menenti, Guangcheng Hu, Jing Lu, Qiting Chen, Min Jiang, Marco Mancini, Chiara Corbari

المصدر: Geo-spatial Information Science, Vol 27, Iss 3, Pp 934-952 (2024)

مصطلحات موضوعية: Net irrigation water requirement, crop water requirement, consumptive water use, gross irrigation water use, irrigation performance, center pivot irrigation systems, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

URL الوصول: https://doaj.org/article/50abbcdc7db14428acd0ceecb6d17228

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المؤلفون: Abdelmoneim Z. Mohamed, R. Troy Peters, Abid Sarwar, Behnaz Molaei, Don McMoran

المصدر: Water, Vol 13, Iss 9, p 1167 (2021)

مصطلحات موضوعية: center-pivot irrigation systems, sprinkler irrigation, irrigation management, water application uniformity, runoff, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4441/13/9/1167; https://doaj.org/toc/2073-4441

URL الوصول: https://doaj.org/article/b1f6f88daf57448e84d2bc5315be2e20

المؤلفون: Jiwen Tang, Zheng Zhang, Lijun Zhao, Ping Tang

المصدر: Remote Sensing, Vol 13, Iss 4, p 612 (2021)

مصطلحات موضوعية: center pivot irrigation systems, object detection, deep learning, convolutional neural networks, shape bias, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/13/4/612; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/ebcafe4ca41842039a13d01c0f8e54a2

المؤلفون: Jiwen Tang, Damien Arvor, Thomas Corpetti, Ping Tang

المصدر: Water, Vol 13, Iss 3, p 298 (2021)

مصطلحات موضوعية: center pivot irrigation systems, water resources, object detection, image recognition, deep learning, convolutional neural network, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4441/13/3/298; https://doaj.org/toc/2073-4441

URL الوصول: https://doaj.org/article/e3a438d53d6349a38c7b072448222162

المؤلفون: J. W. Tang, D. Arvor, T. Corpetti, P. Tang

المساهمون: Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN)

المصدر: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 559-564 (2020)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, V-3-2020, pp.559-564. ⟨10.5194/isprs-annals-V-3-2020-559-2020⟩

مصطلحات موضوعية: lcsh:Applied optics. Photonics, Center Pivot Irrigation Systems, 010504 meteorology & atmospheric sciences, Computer science, 0208 environmental biotechnology, Convolutional Neural Network, 02 engineering and technology, 01 natural sciences, Convolutional neural network, lcsh:Technology, Hough transform, law.invention, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], Deep Learning, law, Object Detection, Preprocessor, Effective method, Computer vision, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 0105 earth and related environmental sciences, Hough Transform, Contextual image classification, business.industry, [SDE.IE]Environmental Sciences/Environmental Engineering, lcsh:T, Deep learning, lcsh:TA1501-1820, [SDE.ES]Environmental Sciences/Environmental and Society, Object detection, 020801 environmental engineering, Center pivot irrigation, lcsh:TA1-2040, Artificial intelligence, business, lcsh:Engineering (General). Civil engineering (General), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8deaaf25a5e3778802640b7baad6ddd3
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/559/2020/isprs-annals-V-3-2020-559-2020.pdf

المؤلفون: Chenxiao Zhang, Peng Yue, Liping Di, Zhaoyan Wu

المصدر: Agriculture, Vol 8, Iss 10, p 147 (2018)

مصطلحات موضوعية: center pivot irrigation systems, machine learning, convolutional neural networks, remote sensing, Agriculture (General), S1-972

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2077-0472/8/10/147; https://doaj.org/toc/2077-0472

URL الوصول: https://doaj.org/article/36280e19fdfa43d4bca422a2da88f4f0

المؤلفون: R. Troy Peters, Don McMoran, Abdelmoneim Zakaria Mohamed, Abid Sarwar, Behnaz Molaei

المصدر: Water
Volume 13
Issue 9
Water, Vol 13, Iss 1167, p 1167 (2021)

مصطلحات موضوعية: 0106 biological sciences, Geography, Planning and Development, runoff, Aquatic Science, center-pivot irrigation systems, 01 natural sciences, Biochemistry, law.invention, law, Intermittency, TD201-500, water application uniformity, Ponding, Water Science and Technology, Water supply for domestic and industrial purposes, 04 agricultural and veterinary sciences, Radius, Mechanics, Hydraulic engineering, Soil gradation, Center pivot irrigation, irrigation management, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, Distribution uniformity, Timer, TC1-978, Tower, sprinkler irrigation, 010606 plant biology & botany

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81bc17c3e714dffea4bdacd9694e4477

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