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Autor: Quiróz, R.

  • Autor: Mares, V.
  • Autor: Carbajal, M.
  • Autor: Rolando, J.L.
  • Autor: Zorogastua, P.
  • Autor: Dubeux, J.C.
  • Autor: Ruíz Moreno, M.
  • Autor: Arya, S.
  • Autor: Chamorro, A.
  • Autor: Comerford, N.
  • Autor: De Mendiburu, F.
  • Autor: García, S.
  • Autor: Gumucio, Tatiana
  • Autor: Haan, Nicoline C. de
  • Autor: Kadian, M.S.
  • Autor: Konkel, J.
  • Autor: Kumar, S.
  • Autor: Mango, Nelson
  • Autor: Mapedza, Everisto D.
  • Autor: Martínez Barón, Deissy
  • Autor: Mendiburu, F. de
  • Autor: Monerris, J.
  • Autor: Ninanya, J.
  • Autor: Pérez, W.
  • Autor: Quiroz, R.
  • Autor: Rana, R.K.
  • Autor: Rinza, J.
  • Autor: Schaeffer, S.
  • Mostrar ítemes como resultados de búsqueda
  • Explorar canales relacionados
  • Vista rápida
    Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
  • Vista rápida
    Key ecosystem services and ecological intensification of agriculture in the tropical high-Andean Puna as affected by land-use and climate changes
  • Vista rápida
    Soil organic carbon stocks and fractionation under different land uses in the Peruvian high-Andean Puna
  • Vista rápida
    SWOT analysis of potato cultivation under arid conditions in western Rajasthan (India).
  • Vista rápida
    Land use effects on soil fertility and nutrient cycling in the Peruvian High-Andean puna grasslands

Autor: Ramírez, D.

  • Autor: Mares, V.
  • Autor: Carbajal, M.
  • Autor: Rolando, J.L.
  • Autor: Zorogastua, P.
  • Autor: Dubeux, J.C.
  • Autor: Ruíz Moreno, M.
  • Autor: Arya, S.
  • Autor: Chamorro, A.
  • Autor: Comerford, N.
  • Autor: De Mendiburu, F.
  • Autor: García, S.
  • Autor: Gumucio, Tatiana
  • Autor: Haan, Nicoline C. de
  • Autor: Kadian, M.S.
  • Autor: Konkel, J.
  • Autor: Kumar, S.
  • Autor: Mango, Nelson
  • Autor: Mapedza, Everisto D.
  • Autor: Martínez Barón, Deissy
  • Autor: Mendiburu, F. de
  • Autor: Monerris, J.
  • Autor: Ninanya, J.
  • Autor: Pérez, W.
  • Autor: Quiroz, R.
  • Autor: Rana, R.K.
  • Autor: Rinza, J.
  • Autor: Schaeffer, S.
  • Mostrar ítemes como resultados de búsqueda
  • Explorar canales relacionados
  • Vista rápida
    Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
  • Vista rápida
    From Rangelands to Cropland, Land-Use Change and its impact on soil organic carbon variables in a Peruvian Andean Highlands: A Machine Learning Modeling approach
  • Vista rápida
    Key ecosystem services and ecological intensification of agriculture in the tropical high-Andean Puna as affected by land-use and climate changes
  • Vista rápida
    Soil organic carbon stocks and fractionation under different land uses in the Peruvian high-Andean Puna
  • Vista rápida
    Land use effects on soil fertility and nutrient cycling in the Peruvian High-Andean puna grasslands

Ejemplares similares: Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling

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    From Rangelands to Cropland, Land-Use Change and its impact on soil organic carbon variables in a Peruvian Andean Highlands: A Machine Learning Modeling approach
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    Overview of artificial intelligence and big data analytics for remote sensing
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    Towards spatially continuous mapping of soil organic carbon in croplands using multitemporal Sentinel-2 remote sensing
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    From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: a machine learning modeling approach
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    Modelling the impacts of organic matter quality on soil carbon turnover and storage
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    Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos
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    Remote sensing of soil salinity mapping: status and potential
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    Combining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basin
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    Irrigation performance using hydrological and remote sensing modeling
  • Vista rápida
    Soil organic carbon stocks and fractionation under different land uses in the Peruvian high-Andean Puna
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    Remote sensing sensors and applications in environmental resources mapping and modelling
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    Utilizing Artificial Intelligence and Remote Sensing to Detect Prosopis juliflora Invasion: Environmental Drivers and Community Insights in Rangelands of Kenya
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    Soil organic carbon changes simulated with the AMG model in a high-organic-matter Mollisol
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    Remote sensing and GIS modeling for selection of a benchmark research area in the inland valley agroecosytems of West and Central Africa
  • Vista rápida
    Assessing soil functioning: What is the added value of soil organic carbon quality measurements alongside total organic carbon content?
  • Vista rápida
    Integrating spatial statistics and remote sensing
  • Vista rápida
    Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context
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    An artificial neural network model for simulating streamflow using remote sensing data
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    Evaluating the impacts of watershed rehabilitation and irrigation interventions on vegetation greenness and soil erosion using remote sensing and biophysical modelling in Feresmay watershed in Ethiopia
  • Vista rápida
    An equivalent soil mass procedure for monitoring soil organic carbon in multiple soil layers
  • Vista rápida
    Modelling the role of algae in rice crop nutrition and soil organic carbon maintenance
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    Remote sensing applied to the assessment of salinity in irrigation systems: some results obtained in Punjab
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    Vulnerability of landscape patterns from a multidisciplinary approach based on remote sensing and GIS in two agroecologies of Mali
  • Vista rápida
    Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru

Ejemplares similares: From Rangelands to Cropland, Land-Use Change and its impact on soil organic carbon variables in a Peruvian Andean Highlands: A Machine Learning Modeling approach

  • Ejemplares similares: Workshop for Dryland Systems: ESA Flagships Eveidence-based Transformation
  • Ejemplares similares: Género y Agricultura en el Perú: Inclusión de intereses y necesidades de hombr...
  • Ejemplares similares: Key ecosystem services and ecological intensification of agriculture in the tr...
  • Ejemplares similares: El boom de la maca, transformando paisajes y sociedades rurales de la zona alt...
  • Ejemplares similares: Soil organic carbon stocks and fractionation under different land uses in the...
  • Ejemplares similares: SWOT analysis of potato cultivation under arid conditions in western Rajasthan...
  • Ejemplares similares: Land use effects on soil fertility and nutrient cycling in the Peruvian High-A...
  • Ver registro
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    From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: a machine learning modeling approach
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    Machine learning based groundwater prediction in a data-scarce basin of Ghana
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    Forecasting commodity prices using long-short-term memory neural networks
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    Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques
  • Vista rápida
    Land use effects on soil fertility and nutrient cycling in the Peruvian High-Andean puna grasslands
  • Vista rápida
    Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia
  • Vista rápida
    Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands
  • Vista rápida
    Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability
  • Vista rápida
    Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley
  • Vista rápida
    Investigating the use of high resolution multi-spectral satellite imagery for crop mapping in Nigeria crop and landuse classification using WorldView-3 high resolution multispectral imagery and LANDSAT8 data
  • Vista rápida
    Nutrient cycling in integrated rangeland/cropland systems of the Sahel
  • Vista rápida
    Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
  • Vista rápida
    An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery
  • Vista rápida
    Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy
  • Vista rápida
    Editorial: Deep learning approaches applied to spectral images for plant phenotyping
  • Vista rápida
    Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya
  • Vista rápida
    Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
  • Vista rápida
    Tracking Rangeland Degradation from Prosopis Invasion in Kenyan Rangeland: A Multi-Source Approach Combining Remote Sensing, Machine Learning and Citizen Science
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    Data-driven hydrological discharge simulation in the Limpopo River Basin for transboundary water management
  • Vista rápida
    Artificial neural network model for forecasting future ainfall scenario of Jharkhand state of India
  • Vista rápida
    ​​Configuration of the deep neural network hyperparameters for the hypsometric modeling of the Guazuma crinita Mart. in the Peruvian Amazon​
  • Vista rápida
    MusaDeepMosaic: Development of a machine learning genomic mosaic classifier tool.
  • Vista rápida
    Integrating APSIM model with machine learning to predict wheat yield spatial distribution
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    Digital soil mapping using machine learning model for Kapiti in Kenya

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