المؤلفون: Valencia-Molina, Manuel C., Chalco Vera, Jorge Elías, Loaiza, Sandra, Trujillo, Catalina, Munera, Bryan, Castro-Franco, Mauricio, Silva-Parra, Amanda, Chirinda, Ngonidzashe, Muñoz-Arboleda, Fernando

المصدر: Sugar Tech 26 : 171-179. (February 2024)

مصطلحات موضوعية: Caña de Azúcar, Dióxido de Carbono, Óxido Nitroso, Suelo, Emisiones de Gases de Efecto Invernadero, Sugar Cane, Carbon Dioxide, Nitrous Oxide, Soil, Greenhouse Gas Emissions, Saccharum officinarum, Urea, Valle del Río Cauca, Colombia

وصف الملف: application/pdf

Relation: http://hdl.handle.net/20.500.12123/18622; https://link.springer.com/article/10.1007/s12355-023-01328-2; https://doi.org/10.1007/s12355-023-01328-2

الاتاحة: https://hdl.handle.net/20.500.12123/18622
https://link.springer.com/article/10.1007/s12355-023-01328-2
https://doi.org/10.1007/s12355-023-01328-2

المؤلفون: Castro Franco, Mauricio

المصدر: https://revistas.unillanos.edu.co/index.php/sistemasagroecologicos/article/view/985.

وصف الملف: application/pdf

Relation: Abbasi, R., Martinez, P., & Ahmad, R. The digitization of agricultural industry–a systematic literature review on agriculture 4.0. Smart Agricultural Technology, 2, 2022.100042.; Basso, B., & Antle, J. Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 2020; 3(4), 254-256.; Klerkx, L., Jakku, E., & Labarthe, P. A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS-Wageningen journal of life sciences, 90, 2019. 100315.; https://revistas.unillanos.edu.co/index.php/sistemasagroecologicos/article/download/985/1043; Núm. 1 , Año 2023 : Enero-Junio; 14; Revista Sistemas de Producción Agroecológicos; https://repositorio.unillanos.edu.co/handle/001/4381; https://doi.org/10.22579/22484817.985

الاتاحة: https://repositorio.unillanos.edu.co/handle/001/4381
https://doi.org/10.22579/22484817.985

المؤلفون: Ledda, Alejandra Rosa, Yanniccari, Marcos, Castro Franco, Mauricio, Sobrero, María T.

المصدر: Advances in Weed Science 40 (spe2) : e020220104. (2022)

مصطلحات موضوعية: Amaranthus, Sequía, Temperatura, Drought, Temperature, Extreme Weather Events, Fenómenos Meteorológicos Extremos, Amaranthus palmeri

وصف الملف: application/pdf

Relation: info:eu-repograntAgreement/INTA/2019-PIT.IR-4131.I068-001, Sudoeste Chaco-Noreste Sgo. del Estero; http://hdl.handle.net/20.500.12123/16378; https://awsjournal.org/article/thermal-time-and-extreme-weather-events-determine-the-emergence-of-amaranthus-palmeri/; https://doi.org/10.51694/AdvWeedSci/2022;40:Amaranthus006

الاتاحة: https://hdl.handle.net/20.500.12123/16378
https://awsjournal.org/article/thermal-time-and-extreme-weather-events-determine-the-emergence-of-amaranthus-palmeri/
https://doi.org/10.51694/AdvWeedSci/2022;40:Amaranthus006

المؤلفون: Cicore, Pablo Leandro, Peralta, Nahuel Raúl, Castro Franco, Mauricio, Larrea, Gaston Emiliano, Costa, José Luis

المصدر: Ciencia del Suelo 39 (1) : 144-156 (Julio 2021)

مصطلحات موضوعية: Festuca Arundinacea, Forrajes, Primavera, Otoño, Sensores, Forage, Spring, Autumn, Sensors, Festuca Alta

وصف الملف: application/pdf

Relation: http://hdl.handle.net/20.500.12123/11940; http://www.suelos.org.ar/publicaciones/Volumen39n1/10-622-Texto.pdf

الاتاحة: https://hdl.handle.net/20.500.12123/11940
http://www.suelos.org.ar/publicaciones/Volumen39n1/10-622-Texto.pdf

المؤلفون: Domenech, Marisa, Amiottia, Nilda, Costa, José Luis, Castro Franco, Mauricio

المصدر: International Journal of Applied Earth Observation and Geoinformation 93 : 102197 (December 2020)

مصطلحات موضوعية: Suelo, Cartografía, Agricultura de Precisión, Conductividad Eléctrica, Radar, Muestreo del Suelo, Soil, Cartography, Precision Agriculture, Electrical Conductivity, Soil Sampling

وصف الملف: application/pdf

Relation: http://hdl.handle.net/20.500.12123/8888; https://www.sciencedirect.com/science/article/pii/S0303243419311353; https://doi.org/10.1016/j.jag.2020.102197

الاتاحة: https://hdl.handle.net/20.500.12123/8888
https://www.sciencedirect.com/science/article/pii/S0303243419311353
https://doi.org/10.1016/j.jag.2020.102197

المؤلفون: Lapaz Olveira, Adrián M.^1,2,3 (AUTHOR) adrianlapaz2010@gmail.com, Castro-Franco, Mauricio⁴ (AUTHOR), Saínz Rozas, Hernán R.^1,3,5 (AUTHOR), Carciochi, Walter D.^1,3 (AUTHOR), Balzarini, Mónica^3,6 (AUTHOR), Avila, Oscar^1,2 (AUTHOR), Ciampitti, Ignacio⁷ (AUTHOR), Reussi Calvo, Nahuel I.^1,3 (AUTHOR) nahuelreussicalvo@mdp.edu.ar

المصدر: Precision Agriculture. Dec2023, Vol. 24 Issue 6, p2592-2606. 15p.

مصطلحات موضوعية: *SYNTHETIC apertures, *SYNTHETIC aperture radar, *NITROGEN in soils, *FIELD crops, *CORN

مصطلحات جغرافية: PAMPAS (Argentina)

الشركة/الكيان: SENTINEL-1 (Artificial satellite)

المؤلفون: Di Pane, Francisco, Lopez, Silvia Concepción, Cantamutto, Miguel Angel, Domenech, Marisa Beatriz, Castro Franco, Mauricio

المصدر: Australian Journal of Crop Science 12 (12) : 1921-1926 (2018)

مصطلحات موضوعية: Fitomejoramiento, Radiación Gamma, Trigo, Triticosecale, Variedades, Crecimiento, Argentina, Plant Breeding, Gamma Radiation, Wheat, Varieties, Growth

وصف الملف: application/pdf

Relation: https://www.cropj.com/pane_12_12_2018_1921_1926.pdf; http://hdl.handle.net/20.500.12123/7045; https://doi.org/10.21475/ajcs.18.12.12.p1251

الاتاحة: https://hdl.handle.net/20.500.12123/7045
https://www.cropj.com/pane_12_12_2018_1921_1926.pdf
https://doi.org/10.21475/ajcs.18.12.12.p1251

المؤلفون: Ramirez-Gi, Joaquin Guillermo, León-Rueda, William A., Castro-Franco, Mauricio, Vargas, German

المصدر: Sugar Tech; Oct2023, Vol. 25 Issue 5, p1115-1133, 19p

المؤلفون: Suárez Londoño, Arnol Sneider, Jiménez López, Andrés Fernando, Castro Franco, Mauricio, Cruz Roa, Angel Alfonso

المصدر: https://orinoquia.unillanos.edu.co/index.php/orinoquia/article/view/432.

مصطلحات موضوعية: Automatic learning, land cover, natural parks, convolutional neural networks, remote sensing, Aprendizagem de máquina, cobertura do solo, parques naturais, rede neural convolutional, sensoriamento remoto, Aprendizaje automático, coberturas de suelo, parques naturales, redes neuronales convolucionales, teledetección

وصف الملف: application/pdf

Relation: Acevedo L, Grupo de planeacion y manejo, S. D. G. Y. M. D. A. P. (2012). Parques nacionales naturales de colombia. Retrieved from http://mapas.parquesnacionales.gov.co/#; Axesnet S.a.S. (2012). Sistema de Informacion Ambiental de Colombia - SIAC. Retrieved from http://www.siac.gov.co/Catalogo_mapas.html; Backoulou GF, Elliott NC, Giles KL, Mirik M. Processed multispectral imagery differentiates wheat crop stress caused bygreenbug from other causes. Computers and Electronics in Agriculture. 2015;115:34-39. https://doi.org/10.1016/j.compag.2015.05.008; Bokusheva R, Kogan F, Vitkovskaya I, Conradt S, Batyrbayeva M. Satellite-based vegetation health indices as a criteria for insuring against drought-related yield losses. Agricultural and Forest Meteorology. 2016;220:200-206. https://doi.org/10.1016/j.agrformet.2015.12.066; Cruz-Roa A, Arévalo J, Judkins A, Madabhushi A, González F. 2015. A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning. International Symposium on Medical Information Processing and Analysis, 9681, 968103. https://doi.org/10.1117/12.2208825; Cruz-Roa A, Basavanhally A, González F, Gilmore H, Feldman M, Ganesan S, Madabhushi A. Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Proc. SPIE, 2014;9041(216):904103-904115. https://doi.org/10.1117/12.2043872; Eisavi V, Homayouni S, Yazdi AM, Alimohammadi A. Land cover mapping based on random forest classification of multitemporal spectral and thermal images. Environmental Monitoring and Assessment. 2015;187(5):1-14. https://doi.org/10.1007/s10661-015-4489-3; Huang JT, Li J, Gong Y. 2015. An analysis of convolutional neural networks for speech recognition. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4989–4993). IEEE. https://doi.org/10.1109/ICASSP.2015.7178920; IDEAM, IGAC, & CORMAGDALENA. (2008). Mapa de Cobertura de la Tierra Cuenca Magdalena-Cauca: Metodología CORINE Land Cover adaptada para Colombia a escala 1:100.000. Instituto de Hidrología, Meteorología y Estudios Ambientales, Instituto Geográfico Agustín Codazzi y Corporación Autónoma Regional del río Grande de la Magdalena (Vol. 1).; Krizhevsky A, Sutskever I, Hinton GE. 2012. ImageNet Classification with Deep Convolutional Neural Networks. Advances In Neural Information Processing Systems. 1–9. https://doi.org/http://dx.doi.org/10.1016/j.protcy.2014.09.007; Liu Y, Zhang B, Wang LM, Wang N. A self-trained semisupervised SVM approach to the remote sensing land cover classification. Computers and Geosciences. 2013;59:98-107. https://doi.org/10.1016/j.cageo.2013.03.024; Martin M, Newman S, Aber J, Congalton R. Determining forest species composition using high spectral resolution remote sensing data. Remote Sensing of Environment. 1998;65(3):249-254. https://doi.org/10.1016/S0034-4257(98)00035-2; Ministerio del Medio Ambiente. (2010). Leyenda nacional de coberturas de la tierra.; Perlin HA, Lopes HS. Extracting human attributes using a convolutional neural network approach. Pattern Recognition Letters. 2015;68:250-259. https://doi.org/10.1016/j.patrec.2015.07.012; Rodriguez-Galiano VF, Ghimire B, Rogan J, Chica-Olmo M, Rigol-Sanchez JP. An assessment of the effectiveness of a random forest classifier for land-cover classification. ISPRS Journal of Photogrammetry and Remote Sensing. 2012;(67):93-104. https://doi.org/10.1016/j.isprsjprs.2011.11.002; Rujoiu-Mare MR, Mihai B. Mapping Land Cover Using Remote Sensing Data and GIS Techniques: A Case Study of Prahova Subcarpathians. Procedia Environmental Sciences. 2016;32:244-255. https://doi.org/10.1016/j.proenv.2016.03.029; Thonfeld F, Feilhauer H, Braun M, Menz G. Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data. International Journal of Applied Earth Observation and Geoinformation. 2016;50:131-140. https://doi.org/10.1016/j.jag.2016.03.009; Wang H, Cruz-Roa A, Basavanhally A, Gilmore H, Shih N, Feldman M, Madabhushi A. Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features. Journal of Medical Imaging (Bellingham, Wash.). 2014;1(3):34003. https://doi.org/10.1117/1.JMI.1.3.034003; Warner TA, Foody GM, Nellis MD. 2009. The SAGE Handbook of Remote Sensing. 504. https://doi.org/10.4135/9780857021052; Zhang R, Zhu D. Study of land cover classification based on knowledge rules using high-resolution remote sensing images. Expert Systems with Applications, 2011;38(4):3647-3652. https://doi.org/10.1016/j.eswa.2010.09.019; https://orinoquia.unillanos.edu.co/index.php/orinoquia/article/download/432/1023; 75; 1 Sup; 64; 21; Orinoquia; https://repositorio.unillanos.edu.co/handle/001/3906; https://doi.org/10.22579/20112629.432

الاتاحة: https://repositorio.unillanos.edu.co/handle/001/3906
https://doi.org/10.22579/20112629.432

المؤلفون: Castro Franco, Mauricio, García Ramírez, Dayra Yisel, Jiménez López, Andrés Fernando

المصدر: Tecnura Journal; Vol. 21 No. 53 (2017): July - September; 78-95 ; Tecnura; Vol. 21 Núm. 53 (2017): Julio - Septiembre; 78-95 ; 2248-7638 ; 0123-921X

مصطلحات موضوعية: bosques aleatorios, cartografía digital de suelos, hipercubo látino condicionado, oxisol, conditioned latin hypercube sampling, digital soil mapping, random forest

وصف الملف: application/pdf; text/html; application/xml

Relation: https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11658/13021; https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11658/13445; https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11658/13453; Behrens, T., Zhu, A., Schmidt, K., y Scholten, T. (2010). Multi-Scale Digital Terrain Analysis and Feature Selection for Digital Soil Mapping. Geoderma, 155(3), 175-185. https://doi.org/10.1016/j.geoderma.2009.07.010; Bishop, T. y McBratney, A. (2001). A Comparison of Prediction Methods for the Creation of Field-Extent Soil Property Maps. Geoderma, 103(1–2), 149-160. https://doi.org/10.1016/S0016-7061(01)00074-X; Bray, R., y Kurtz, L. (1945). Determination of total, organic, and available forms of phosphorus in soils. Soil Science, 59(1), 39-46. https://doi.org/10.1097/00010694-194501000-00006; Breiman, L. (2001). Random Forests. Machine Learning, 45(1), 5-32. https://doi.org/10.1023/A:1010933404324; Castro, M., Costa, J., Peralta, N., y Aparicio, V. (2015). Prediction of Soil Properties at Farm Scale Using a Model-Based Soil Sampling Scheme and Random Forest. Soil science, 180, 1-12.; Giraldü, G., y Santana, E. (2014). Metodología para el pronóstico de la demanda en ambientes multiproducto y de alta variabilidad. Revista Tecnura, 18(40), 89-102. https://doi.org/10.14483/udistrital.jour.tecnura.2014.2.a07; Goovaerts, P. (1999). Geostatistics in Soil Science: State-Of-The-Art and Perspectives. Geoderma, 89(1), 1-45. https://doi.org/10.1016/S0016-7061(98)00078-0; Guyon, I., y Elisseeff, A. (2003). An Introduction to Variable and Feature Selection. Journal of Machine Learning Research, 3, 1157-1182.; Hempel, J., Hammer, R., Moore, A., Bell, J., Thompson, J., y Golden, M. (2008). Challenges to Digital Soil Mapping. Digital Soil Mapping with Limited Data (pp. 81-90). USA: Springer. https://doi.org/10.1007/978-1-4020-8592-5_7; Hengl, T., y Reuter, H. (Ed.). (2008). Geomorphometry: Concepts, Software, Applications. Amsterdam: Elsevier Science.; Hutchinson, M. (1989). A New Procedure for Gridding Elevation and Stream Line Data With Automatic Removal of Spurious Pits. Journal of Hydrology, 106(3), 211-232. https://doi.org/10.1016/0022-1694(89)90073-5; Kerry, R., y Oliver, M. (2003). Variograms of Ancillary Data to Aid Sampling for Soil Surveys. Precision Agriculture, 4(3), 261-278. https://doi.org/10.1023/A:1024952406744; Lavelle, P., Rodríguez, N., Arguello, O., Bernal, J., Botero, C., Chaparro, P., Gómez, Y., Gutierrez, A., Hurtado, M., Loaiza, S., Pullido, S., Rodríguez, Orozco, D., Flores, J., y Sanabria, Y. (2015). Indicadores químicos de calidad de suelos en sistemas productivos del Piedemonte de los Llanos Orientales de Colombia. Acta Agronómica, 64(4), 302-307.; E., Sanabria, C., Velásquez, E., y Fonte, S. (2014). Soil Ecosystem Services and Land Use in The Rapidly Changing Orinoco River Basin of Colombia. Agriculture, Ecosystems and Environment, 185(0), 106-117. https://doi.org/10.1016/j.agee.2013.12.020; Li, J., y Heap, A. (2011). A Review of Comparative Studies Of Spatial Interpolation Methods in Environmental Sciences: Performance and Impact Factors. Ecological Informatics, 6(3-4), 228-241. https://doi.org/10.1016/j.ecoinf.2010.12.003; Minasny, B., y McBratney, A. (2007). Spatial Prediction Of Soil Properties Using EBLUP With the Matérn Covariance Function. Geoderma, 140(4), 324-336. https://doi.org/10.1016/j.geoderma.2007.04.028; Olaya, V., y Conrad, O. (2009). Geomorphometry in SAGA. Developments in Soil Science, 33, 293-308. https://doi.org/10.1016/S0166-2481(08)00012-3; Oliver, M. (2010). Geostatistical Applications for Precision Agriculture. United Kingdom: Springer. https://doi.org/10.1007/978-90-481-9133-8; Pe-a, R., Rubiano, Y., Pe-a, A., y Chaves, B. (2009). Variabilidad espacial de los atributos de la capa arable de un Inceptisol del piedemonte de la cordillera oriental (Casanare, Colombia). Agronomía Colombiana, 27(1), 111-120.; R Development Core Team. (2015). R: A language and Enviroment for Stadistical Computing. Viena, Austria: R Fundation for Stadistical Computing. Recuperado de http://www.r-project.org/; Rippstein, G., Escobar, G., y Motta, F. (2001). Agroecología y biodiversidad de las sabanas en los Llanos Orientales de Colombia: CIAT.; Romero, M., Flantua, S., Tansey, K., y Berrio, J. (2012). Landscape Transformations in Savannas of Northern South America: Land Use/Cover Changes Since 1987 in the Llanos Orientales of Colombia. Applied Geography, 32(2), 766-776. https://doi.org/10.1016/j.apgeog.2011.08.010; Schmidt, K., Behrens, T., Daumann, J., Ramirez, L., Werban, U., Dietrich, P., y Scholten, T. (2014). A Comparison of Calibration Sampling Schemes at the Field Scale. Geoderma, 232, 243-256. https://doi.org/10.1016/j.geoderma.2014.05.013; Song, G., Zhang, J., y Wang, K. (2014). Selection of Optimal Auxiliary Soil Nutrient Variables for Cokriging Interpolation. PLoS ONE, 9(6), e99695. https://doi.org/10.1371/journal.pone.0099695; Toro, G., y Melo, C. (2009). Aplicación de métodos de interpolación geoestadísticos para la predicción de niveles digitales de una imagen satelital con líneas perdidas y efecto sal y pimienta. Revista Tecnura, 12(24), 55-67.; Walkley, A., y Black, I. A. (1934). An Examination of the Degtjareff Method for Determining Soil Organic Matter, and a Proposed Modification of the Chromic Acid Titration Method. Soil Science, 37(1), 29-38. https://doi.org/10.1097/00010694-193401000-00003; Webster, R., y Oliver, M. (2007). Geostatistics for Environmental Scientists. John Wiley and Sons. https://doi.org/10.1002/9780470517277; https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11658

الاتاحة: https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11658

المؤلفون: Castro Franco, Mauricio, Domenech, Marisa, Costa, José Luis, Aparicio, Virginia Carolina

المصدر: Acta Agronómica; Vol. 66 No. 2 (2017); 228 - 234 ; Acta Agronómica; Vol. 66 Núm. 2 (2017); 228 - 234 ; Acta Agronómica; v. 66 n. 2 (2017); 228 - 234 ; 2323-0118 ; 0120-2812

مصطلحات موضوعية: Feature selection, Petrocalcic horizon, Random Forest, Soil sciences, agriculture of precision, GIS, Natural sciences, earth sciences

وصف الملف: application/pdf; application/xml

Relation: https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/53282/57810; https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/53282/61252; https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/53282

الاتاحة: https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/53282

المؤلفون: Castro Franco, Mauricio, Díaz, Hernán Julio, Quiroz Londoño, Mauricio, Ciccore, Pablo, Costa, Jose Luis

المصدر: Ciencia del suelo 35 (1) : 135-146. (2017)

مصطلحات موضوعية: Arcilla, Técnicas de Predicción, Conductividad Eléctrica, Muestreo del Suelo, Textura del Suelo, Agricultura de Precisión, Precision Agriculture, Soil Texture, Soil Sampling, Electrical Conductivity, Forecasting, Clay, Buenos Aires

وصف الملف: application/pdf

Relation: http://hdl.handle.net/20.500.12123/2323; http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672017000100012

الاتاحة: https://hdl.handle.net/20.500.12123/2323
http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672017000100012

المؤلفون: Lapaz Olveira, Adrián Marcelo, Castro-Franco, Mauricio, Carciochi, Walter D., Saínz Rozas, Hernán R., Balzarini, Mónica, Calvo, Nahuel I. Reussi

المصدر: SSRN Electronic Journal ; ISSN 1556-5068

الاتاحة: http://dx.doi.org/10.2139/ssrn.4135295

المؤلفون: Castro Franco, Mauricio, Peralta, Nahuel Raúl, Costa, José Luis

مصطلحات موضوعية: Ciencias Informáticas, Agricultura de precisión, Zonas de manejo homogéneo, Análisis espacial exploratorio, Topografía, Mapas de rendimiento

وصف الملف: application/pdf; 83-97

Relation: http://sedici.unlp.edu.ar/handle/10915/125838

الاتاحة: http://sedici.unlp.edu.ar/handle/10915/125838

المؤلفون: Peralta, Nahuel Raúl, Castro Franco, Mauricio, Costa, José Luis

مصطلحات موضوعية: Ciencias Informáticas, Agricultura de precisión, Variabilidad espacial, Conductividad eléctrica aparente, Profundidad de tosca

وصف الملف: application/pdf; 58-69

Relation: http://sedici.unlp.edu.ar/handle/10915/125834

الاتاحة: http://sedici.unlp.edu.ar/handle/10915/125834

المؤلفون: Castro Franco, Mauricio, Domenech, Marisa Beatriz

المصدر: AgroBarrow 56 : 28-29 (mayo 2015)

مصطلحات موضوعية: Suelo, Cartografía, Tecnología, Cultivos, Soil, Cartography, Technology, Crops, Manejo Sitio Específico

وصف الملف: application/pdf

Relation: https://inta.gob.ar/documentos/agrobarrow-no-56-mayo-2015; http://hdl.handle.net/20.500.12123/3268

الاتاحة: https://hdl.handle.net/20.500.12123/3268
https://inta.gob.ar/documentos/agrobarrow-no-56-mayo-2015

المؤلفون: Cicore, Pablo Leandro, Sánchez, Hernán Raúl, Peralta, Nahuel Raúl, Castro Franco, Mauricio, Aparicio, Virginia Carolina, Costa, Jose Luis

المصدر: Ciencia del suelo 33 (2) : 229-237. (2015)

مصطلحات موضوعية: Propiedades Físico-Químicas Suelo, Conductividad Eléctrica, Análisis Multivariante, Multivariate Analysis, Electrical Conductivity, Soil Chemicophysical Properties, Suelos Bajos, Variabilidad Espacial, Región Pampa Deprimida, Low Land Soils, Spatial Variability

وصف الملف: application/pdf

Relation: http://hdl.handle.net/20.500.12123/2435; http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672015000200007&lng=es&nrm=iso&tlng=es

الاتاحة: https://hdl.handle.net/20.500.12123/2435
http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672015000200007&lng=es&nrm=iso&tlng=es

المؤلفون: Lapaz Olveira, Adrián, Saínz Rozas, Hernán, Castro-Franco, Mauricio, Carciochi, Walter, Nieto, Luciana, Balzarini, Mónica, Ciampitti, Ignacio, Reussi Calvo, Nahuel

المصدر: Remote Sensing; Feb2023, Vol. 15 Issue 3, p824, 17p

مصطلحات موضوعية: MULTISENSOR data fusion, REMOTE sensing, RADAR, DETECTORS, BACKSCATTERING

مصطلحات جغرافية: PAMPAS (Argentina), ARGENTINA

الشركة/الكيان: SENTINEL-1 (Artificial satellite)

المؤلفون: Cicore, Pablo Leandro, Peralta, Nahuel Raúl, Castro Franco, Mauricio, Larrea, Gaston Emiliano, Costa, José Luis

المصدر: Ciencia del Suelo 39 (1) : 144-156 (Julio 2021)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA

مصطلحات موضوعية: Otoño, Forage, Sensores, Sensors, Festuca Alta, Autumn, Primavera, Forrajes, Festuca Arundinacea, Spring

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3056::bf5a8fdeedb3a9fb1a5484e31bb276e1
http://www.suelos.org.ar/publicaciones/Volumen39n1/10-622-Texto.pdf

المؤلفون: Molfese, Elena Rosa, Castro Franco, Mauricio, Domenech, Marisa Beatriz, Fritz, N., Yanniccari, Marcos

المصدر: Crop Science (First published: 26 May 2021)

مصطلحات موضوعية: Trigo, Variedades, Factores Ambientales, Trigo Harinero, Tecnología, Calidad, Argentina, Wheat, Varieties, Environmental Factors, Soft Wheat, Technology, Quality, Trigo Pan, Región Pampeana, Bread Wheat

وصف الملف: application/pdf

Relation: info:eu-repograntAgreement/INTA/BASUR-1272409/AR./Proyecto regional con enfoque territorial de la CEI Barrow.; http://hdl.handle.net/20.500.12123/9501; https://doi.org/10.1002/csc2.20571

الاتاحة: https://hdl.handle.net/20.500.12123/9501
https://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/csc2.20571
https://doi.org/10.1002/csc2.20571