Canales :: Servicio de Descubrimiento de la UNA

Autor: Arcila, Ángela María

Vista rápida
Principales plagas de los cítricos en la región caribe de Colombia :descripción y manejo
Vista rápida
Tecnología para el cultivo de los cítricos en la región caribe colombiana

Autor: Baquero Maestre, César Elías

Vista rápida
Tecnología para el cultivo de los cítricos en la región caribe colombiana

Ejemplares similares: Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods

Vista rápida
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
Vista rápida
The FLUXNET 20165 dataset and the ONEFlux processing pipeline for eddy covariance data
Vista rápida
ECOSTRESS: NASA's next generation mission to measure evapotranspiration from the international space station
Vista rápida
Assessment of crop evapotranspiration and deep percolation in a commercial irrigated citrus orchard under semi-arid climate: combined Eddy-Covariance measurement and soil water balance-based approach
Vista rápida
Online fitted policy iteration based on extreme learning machines
Vista rápida
En studie om hur framtida landskapsarkitektur kan påverkas av Artificiell Intelligens
Vista rápida
Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
Vista rápida
Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images
Vista rápida
Machine learning- based gridded soil mapping for Kapiti research station and wildlife conservancy, Kenya
Vista rápida
Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivo aplicando técnicas de aprendizaje automático
Vista rápida
The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting
Vista rápida
MusaDeepMosaic: Development of a machine learning genomic mosaic classifier tool.
Vista rápida
Predicting climate smart agriculture (CSA) practices using machine learning: A prime exploratory survey
Vista rápida
Digital soil mapping using machine learning model for Kapiti in Kenya
Vista rápida
ICOS eddy covariance flux-station site setup: A review
Vista rápida
Machine learning based rice blast model development. Report.
Vista rápida
Leveraging unsupervised machine learning to examine women's vulnerability to climate change
Vista rápida
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in west Africa
Vista rápida
Integrating APSIM model with machine learning to predict wheat yield spatial distribution
Vista rápida
Riconoscere la lebbra con l’intelligenza artificiale
Vista rápida
Predicting aflatoxin risk in maize using machine learning and satellite data in East and Southern Africa
Vista rápida
Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice
Vista rápida
Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice
Vista rápida
Early detection of plant virus infection using multispectral imaging and spatial-spectral machine learning

Ejemplares similares: Principales plagas de los cítricos en la región caribe de Colombia :descripción y manejo