المؤلفون: Yiqing Liu, Weihang Liu, Tao Ye, Shuo Chen, Xuehong Chen, Zitong Li, Ning Zhan, Ran Sun

المصدر: Environmental Research Letters, Vol 20, Iss 2, p 024020 (2025)

مصطلحات موضوعية: rice phenology estimation, climate data, satellite data, machine learning, hybrid model, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999

Relation: https://doi.org/10.1088/1748-9326/ada56e; https://doaj.org/toc/1748-9326; https://doaj.org/article/e9ab5abacdfc4922b29c4fef4d6399e7

الاتاحة: https://doi.org/10.1088/1748-9326/ada56e
https://doaj.org/article/e9ab5abacdfc4922b29c4fef4d6399e7

المؤلفون: Wang Mo, Wang Jing, Chen Li, Du Zhigang

المصدر: Open Geosciences, Vol 14, Iss 1, Pp 414-428 (2022)

مصطلحات موضوعية: rice mapping, rice phenology estimation, dtw distance, sub-dtw algorithm, Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2391-5447

URL الوصول: https://doaj.org/article/67fd90a8cec24316945fdb4cd6ec1f48

المؤلفون: Xiangyu Lu, Jun Zhou, Rui Yang, Zhiyan Yan, Yiyuan Lin, Jie Jiao, Fei Liu

المصدر: Drones; Volume 7; Issue 2; Pages: 83

مصطلحات موضوعية: rice phenology, image segmentation, deep learning, UAV images, direct geo-locating

وصف الملف: application/pdf

Relation: Drones in Agriculture and Forestry; https://dx.doi.org/10.3390/drones7020083

الاتاحة: https://doi.org/10.3390/drones7020083

المؤلفون: Yan Gong, Kaili Yang, Zhiheng Lin, Shenghui Fang, Xianting Wu, Renshan Zhu, Yi Peng

المصدر: Plant Methods, Vol 17, Iss 1, Pp 1-16 (2021)

مصطلحات موضوعية: Leaf area index, Rice phenology, Unmanned aerial vehicle, Vegetation index, Canopy reflectance, Canopy height, Plant culture, SB1-1110, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1746-4811

URL الوصول: https://doaj.org/article/75693058a6a94fbf9b7b5e1f0dd9d9c8

المؤلفون: Yuanqin Zhang, Deqin Xiao, Youfu Liu

المصدر: IEEE Access, Vol 9, Pp 86843-86854 (2021)

مصطلحات موضوعية: Tiller recognition, rice phenology, machine learning, principal component analysis, support vector machine, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9455372/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/5ad5749458694b6bb2d8c71f7135c58d

المؤلفون: Bo Wang, Yu Liu, Qinghong Sheng, Jun Li, Jiahui Tao, Zhijun Yan

المصدر: Sustainability; Volume 14; Issue 13; Pages: 8009

مصطلحات موضوعية: photovoltaic agriculture, rice phenology, synthetic aperture radar, multi-temporal Sentinel-1 data

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Sustainable Agriculture; https://dx.doi.org/10.3390/su14138009

الاتاحة: https://doi.org/10.3390/su14138009

المؤلفون: Phan, Hoa, Le Toan, Thuy, Bouvet, Alexandre

المساهمون: Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

المصدر: ISSN: 2072-4292 ; Remote Sensing ; https://hal.science/hal-03272206 ; Remote Sensing, 2021, 13 (5), pp.921. ⟨10.3390/rs13050921⟩.

مصطلحات موضوعية: rice mapping, SAR, Sentinel-1, Mekong Delta, time series, temporal variation, crop calendar, sowing date, rice phenology, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SDE.IE]Environmental Sciences/Environmental Engineering

الاتاحة: https://hal.science/hal-03272206
https://hal.science/hal-03272206v1/document
https://hal.science/hal-03272206v1/file/Phan_2021_RS.pdf
https://doi.org/10.3390/rs13050921

المؤلفون: HUYNH, VUONG THU MINH

المساهمون: 藏崎, 正明, 沖野, 龍文, 渡邉, 悌二, Ram, Avtar, 大崎, 満

مصطلحات موضوعية: Water quality parameters, multivariate analysis, rice phenology, water infrastructure, rice cropping pattern mapping, SAR backscattering

وصف الملف: PDF

URL الوصول: https://ndlsearch.ndl.go.jp/books/R100000039-I11490219

Degree: 博士(環境科学) -- 北海道大学

المؤلفون: Tao, Fulu, Palosuo, Taru, Rötter, Reimund P., Díaz-Ambrona, Carlos Gregorio Hernández, Inés Mínguez, M., Semenov, Mikhail A., Kersebaum, Kurt Christian, Cammarano, Davide, Specka, Xenia, Nendel, Claas, Srivastava, Amit Kumar, Ewert, Frank, Padovan, Gloria, Ferrise, Roberto, Martre, Pierre, Rodríguez, Lucía, Ruiz-Ramos, Margarita, Gaiser, Thomas, Höhn, Jukka G., Salo, Tapio, Dibari, Camilla, Schulman, Alan H.

المساهمون: Viikki Plant Science Centre (ViPS), Institute of Biotechnology

مصطلحات موضوعية: AIR CO2 ENRICHMENT, ATMOSPHERIC CO2, Agriculture, Climate change, Crop growth simulation, ELEVATED CO2, FIELD EXPERIMENT, Impact, Model improvement, NITROGEN DYNAMICS, RICE PHENOLOGY, SIMULATION-MODELS, TEMPERATURE, UNCERTAINTY, WHEAT GROWTH, 11831 Plant biology, Environmental sciences, Other agricultural sciences

وصف الملف: application/pdf

Relation: Tao , F , Palosuo , T , Rötter , R P , Díaz-Ambrona , C G H , Inés Mínguez , M , Semenov , M A , Kersebaum , K C , Cammarano , D , Specka , X , Nendel , C , Srivastava , A K , Ewert , F , Padovan , G , Ferrise , R , Martre , P , Rodríguez , L , Ruiz-Ramos , M , Gaiser , T , Höhn , J G , Salo , T , Dibari , C & Schulman , A H 2020 , ' Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models ' , Agricultural and Forest Meteorology , vol. 281 , 107851 . https://doi.org/10.1016/j.agrformet.2019.107851; RIS: urn:C9D07037E54F921EAE5DBF6DA6BA3C6A; http://hdl.handle.net/10138/321942; d45237ba-dd02-49e3-b030-c0c85e3519b1; 000525808600029

الاتاحة: http://hdl.handle.net/10138/321942

المؤلفون: Mingbang Zhu, Shanshan Liu, Ziqing Xia, Guangxing Wang, Yueming Hu, Zhenhua Liu

المصدر: Agriculture; Volume 10; Issue 8; Pages: 318

مصطلحات موضوعية: CLQ, GA-BPNN, GPP-driven spectral model, rice phenology, EBK

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Agricultural Technology; https://dx.doi.org/10.3390/agriculture10080318

الاتاحة: https://doi.org/10.3390/agriculture10080318

المؤلفون: Yi Ma, Qi Jiang, Xianting Wu, Renshan Zhu, Yan Gong, Yi Peng, Bo Duan, Shenghui Fang

المصدر: Remote Sensing, Vol 13, Iss 86, p 86 (2020)

مصطلحات موضوعية: rice phenology (RP), initial heading stage (IHS), normalized difference vegetation index (NDVI), red edge chlorophyll index (CIred edge), maximum curvature (MC), Science

Relation: https://www.mdpi.com/2072-4292/13/1/86; https://doaj.org/toc/2072-4292; https://doaj.org/article/32a46501ddb841638ffb051980b8073d

الاتاحة: https://doi.org/10.3390/rs13010086
https://doaj.org/article/32a46501ddb841638ffb051980b8073d

المؤلفون: C. Dineshkumar, S. Nitheshnirmal, Ashutosh Bhardwaj, K. Nivedita Priyadarshini

المصدر: Proceedings; Volume 24; Issue 1; Pages: 19

مصطلحات موضوعية: rice phenology, MODIS, Enhanced Vegetation Index, Google Earth Engine, machine learning

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/IECG2019-06205

الاتاحة: https://doi.org/10.3390/IECG2019-06205

المؤلفون: Rudiyanto, Budiman Minasny, Ramisah Shah, Norhidayah Che Soh, Chusnul Arif, Budi Indra Setiawan

المصدر: Remote Sensing; Volume 11; Issue 14; Pages: 1666

مصطلحات موضوعية: rice fields, rice phenology, automated near-real-time mapping and monitoring, Sentinel-1, Google Earth Engine

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Remote Sensing in Agriculture and Vegetation; https://dx.doi.org/10.3390/rs11141666

الاتاحة: https://doi.org/10.3390/rs11141666

المؤلفون: Huynh Vuong Thu Minh, Ram Avtar, Geetha Mohan, Prakhar Misra, Masaaki Kurasaki

المصدر: ISPRS International Journal of Geo-Information; Volume 8; Issue 5; Pages: 211

مصطلحات موضوعية: rice phenology, water infrastructure, rice cropping pattern mapping, SAR backscattering

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/ijgi8050211

الاتاحة: https://doi.org/10.3390/ijgi8050211

المؤلفون: Renshan Zhu, Yi Peng, Qi Jiang, Bo Duan, Yi Ma, Shenghui Fang, Yan Gong, Xianting Wu

المصدر: Remote Sensing, Vol 13, Iss 86, p 86 (2021)
Remote Sensing; Volume 13; Issue 1; Pages: 86

مصطلحات موضوعية: 0106 biological sciences, Low altitude, Red Edge Chlorophyll Index (CIred edge), Heading (navigation), Maximum Curvature (MC), 010504 meteorology & atmospheric sciences, Mean squared error, Phenology, Science, Red edge, 01 natural sciences, Normalized Difference Vegetation Index, Air temperature, Initial Heading Stage (IHS), General Earth and Planetary Sciences, rice phenology (RP), initial heading stage (IHS), normalized difference vegetation index (NDVI), red edge chlorophyll index (CIred edge), maximum curvature (MC), Normalized Difference Vegetation Index (NDVI), Stage (hydrology), Rice Phenology (RP), 010606 plant biology & botany, 0105 earth and related environmental sciences, Mathematics, Remote sensing

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a8b37df680d9bda91fcbc074316ee8d
https://www.mdpi.com/2072-4292/13/1/86

المؤلفون: Yuta Izumi, Sevket Demirci, Mohd Bin Baharuddin, Tomoro Watanabe, Josaphat Sumantyo

المصدر: Applied Sciences; Volume 7; Issue 4; Pages: 368

مصطلحات موضوعية: radar polarimetry, synthetic aperture radar (SAR), dual circular polarimetry (DCP), compact polarimetry, rice phenology

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app7040368

الاتاحة: https://doi.org/10.3390/app7040368

المؤلفون: Hoa Phan, Thuy Le Toan, Alexandre Bouvet

المساهمون: Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

المصدر: Remote Sensing
Remote Sensing, MDPI, 2021, 13 (5), pp.921. ⟨10.3390/rs13050921⟩
Remote Sensing; Volume 13; Issue 5; Pages: 921
Remote Sensing, 2021, 13 (5), pp.921. ⟨10.3390/rs13050921⟩
Remote Sensing, Vol 13, Iss 921, p 921 (2021)

مصطلحات موضوعية: Synthetic aperture radar, 010504 meteorology & atmospheric sciences, Science, Population, sowing date, 0211 other engineering and technologies, Climate change, 02 engineering and technology, Agricultural engineering, 01 natural sciences, temporal variation, Mekong Delta, rice phenology, crop calendar, education, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, 2. Zero hunger, education.field_of_study, Food security, rice mapping, [SDE.IE]Environmental Sciences/Environmental Engineering, food and beverages, Staple food, 15. Life on land, Geography, 13. Climate action, SAR, Sentinel-1, time series, General Earth and Planetary Sciences, Paddy field, Cropping, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Water use

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13ed9ee3b2bc2a119f00632fb77ed158
https://hal.archives-ouvertes.fr/hal-03272206/document

المؤلفون: Mingbang Zhu, Zhenhua Liu, Yueming Hu, Shanshan Liu, Ziqing Xia, Guangxing Wang

المصدر: Agriculture, Vol 10, Iss 318, p 318 (2020)
Agriculture
Volume 10
Issue 8

مصطلحات موضوعية: EBK, Mean squared error, GA-BPNN, Plant Science, 010501 environmental sciences, 01 natural sciences, GPP-driven spectral model, Bayes' theorem, Kriging, Partial least squares regression, Statistics, rice phenology, lcsh:Agriculture (General), 0105 earth and related environmental sciences, Mathematics, Variance inflation factor, Primary production, 04 agricultural and veterinary sciences, lcsh:S1-972, Support vector machine, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, CLQ, Agronomy and Crop Science, Food Science, Interpolation

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f956c9bbe4fd8550083e0aa3fa03a83
https://www.mdpi.com/2077-0472/10/8/318

المؤلفون: Hiroshi Nakagawa, 中川 博視

المصدر: Abstracts of Meeting of the CSSJ. 2016, :252

المؤلفون: Kurt Christian Kersebaum, Frank Ewert, Carlos Gregorio Hernández Díaz-Ambrona, Pierre Martre, Fulu Tao, Tapio Salo, Camilla Dibari, Xenia Specka, Lucía Rodríguez, Roberto Ferrise, Amit Kumar Srivastava, G. Padovan, Taru Palosuo, Davide Cammarano, Margarita Ruiz-Ramos, M. Ines Minguez, Alan H. Schulman, Mikhail A. Semenov, Thomas Gaiser, Claas Nendel, Reimund P. Rötter, Jukka Höhn

المساهمون: Viikki Plant Science Centre (ViPS), Institute of Biotechnology, Natural Resources Institute Finland (LUKE), Georg-August-University [Göttingen], Centre for Biodiversity and Sustainable Land Use (CBL), Universidad Politécnica de Madrid (UPM), Rothamsted Research, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Department of Agronomy, Purdue University [West Lafayette], Crop Science Group, INRES, Rheinische Friedrich-Wilhelms-Universität Bonn, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Helsinki, FACCE-MACSUR knowledge hub (031A103B), Academy of Finland through projects AI-CropPro (decision no. 316172), DivCSA (decision no. 316215), Natural Resources Institute Finland through strategic projects ClimSmartAgri and Boost-IA, German Federal Ministry of Education and Research, ‘Limpopo Living Landscapes’ project within the SPACES program (grant number 01LL1304A), IMPAC^3 project funded by the German Federal Ministry of Education and Research (FKZ 031A351A), MULCLIVAR CGL2012-38923-C02-02 from MINECO and by MACSUR01-UPM from INIA within FACCE-JPI, German Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food (BLE), (2851ERA01J), German Ministry of Education and Research (BMBF), 031B0039C, FACCE-MACSUR project (031A103B) through the metaprogramme on Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA), FACCE-JPI project ClimBar (Academy of Finland decision 284987), JPI FACCE MACSUR2 through the Italian Ministry for Agricultural, Food, and Forestry Policies, Biotechnology and Biological Sciences Research Council (BBSRC) Designing Future Wheat project (BB/P016855/1)., European Project: 613556,EC:FP7:KBBE,FP7-KBBE-2013-7-single-stage,WHEALBI(2014), Georg-August-University = Georg-August-Universität Göttingen, Biotechnology and Biological Sciences Research Council (BBSRC), Università degli Studi di Firenze = University of Florence (UniFI), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Helsingin yliopisto = Helsingfors universitet = University of Helsinki

المصدر: Agricultural and Forest Meteorology
Agricultural and Forest Meteorology, Elsevier Masson, 2020, 281, ⟨10.1016/j.agrformet.2019.107851⟩
Agricultural and Forest Meteorology, 2020, 281, ⟨10.1016/j.agrformet.2019.107851⟩

مصطلحات موضوعية: 0106 biological sciences, Mediterranean climate, Atmospheric Science, 010504 meteorology & atmospheric sciences, AIR CO2 ENRICHMENT, Climate change, Crop growth simulation, Agricultural engineering, SIMULATION-MODELS, 01 natural sciences, NITROGEN DYNAMICS, Evapotranspiration, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Precipitation, ATMOSPHERIC CO2, FIELD EXPERIMENT, TEMPERATURE, 1172 Environmental sciences, 0105 earth and related environmental sciences, 2. Zero hunger, Global and Planetary Change, Biomass (ecology), RICE PHENOLOGY, WHEAT GROWTH, Crop growth stimulation, business.industry, Model improvement, Global warming, Uncertainty, Forestry, Agriculture, 15. Life on land, 11831 Plant biology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Impact, Boreal, 13. Climate action, 415 Other agricultural sciences, Environmental science, business, ELEVATED CO2, Agronomy and Crop Science, 010606 plant biology & botany

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0edd8f600e781a70b021515221a46c54
http://hdl.handle.net/10138/321942