Resultados de búsqueda - "algorithm"
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Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms
Publicado 2016Materias: “…algorithms…”
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Mapping of Sahelian vegetation parameters from ERS scatterometer data with an evolution strategies algorithm
Publicado 2003“…This a priori information is used as input of the radiative transfer model that simulates the interaction between the radar wave and the surface components (soil and vegetation). Then, an inversion algorithm is applied to retrieve vegetation aerial mass from the ERS scatterometer data. …”
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A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation
Publicado 1998Enlace del recurso
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A remote sensing surface energy balance algorithm for land (SEBAL): 2. Validation
Publicado 1998Enlace del recurso
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Simultaneous-irrigation scheduling GA [genetic algorithm] model with identical discharges and travel time
Publicado 2017Materias: “…algorithms…”
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Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring
Publicado 2017Enlace del recurso
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A simple algorithm for largescale mapping of evergreen forests in tropical America, Africa and Asia
Publicado 2009“…The area and spatial distribution of evergreen forests from the LSWI-based algorithm is to a large degree similar to those of the MOD12Q1 produced by complex mapping algorithms. …”
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Relative performance of cluster algorithms and validation indices in maize genome-wide structure patterns
Publicado 2022“…A number of clustering algorithms are available to depict population genetic structure (PGS) with genomic data; however, there is no consensus on which methods are the best performing ones. …”
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Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms
Publicado 2025“…The machine learning algorithms are trained with a small subset of each hyperspectral image corresponding to the plant canopy. …”
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ET-Network Regional Training Workshop Tunis, December 6-9, 2019
Publicado 2021Materias: “…algorithms…”
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Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm
Publicado 2024“…The RF classifier and the Boruta algorithms shows that water balance, precipitation, maximum and minimum temperature have a higher influence on drought intensity and occurrence across Bangladesh. …”
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Which machine learning algorithm is best suited for estimating reference evapotranspiration in humid subtropical climate?
Publicado 2025Materias: “…algorithms…”
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Local regression algorithm improves NIRS predictions when the target constituent evolves in breeding populations
Publicado 2015Enlace del recurso
Conference Proceedings -
Methodology for the identification of relevant loci for milk traits in dairy cattle, using machine learning algorithms
Publicado 2022Materias: “…Machine Learning Algorithms…”
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Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm
Publicado 2017“…This work proposes a region-oriented segmentation algorithm for detecting the most common peel defects of citrus fruits. …”
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Maps of rice area in Senegal River Valley based on MODIS time-series and the PhenoRice algorithm
Publicado 2019“…PhenoRice algorithm was piloted and we found that it can provide insights about recent variations in rice cultivation practices in Senegal River Valley. …”
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Analyzing inflow to Faye reservoir sensitivity to climate change using CMIP6 and random forest algorithm
Publicado 2024“…The results show the good performance of the RF algorithm in simulating reservoir inflows with Cor > 0.6 for all models. …”
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Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability
Publicado 2024Materias: “…algorithms…”
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Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments
Publicado 2024“…Crop models (CMs) are powerful tools for predicting yield and water use, but they still have some limitations and uncertainties; therefore, combining them with machine learning algorithms (MLs) could improve predictions and reduce uncertainty. …”
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A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses
Publicado 2024Materias: “…algorithms…”
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