Estimating soybean yield using time series of anomalies in vegetation indices from MODIS

An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to its spatiotemporal coverage, for developing empirical models to predict and evalua...

Descripción completa

Detalles Bibliográficos
Autores principales: Nolasco, Miguel, Ovando, Gustav, Sayago, Silvina, Magario, Ivana, Bocco, Mónica
Formato: Objeto de conferencia Resumen
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
NDVI
Soybean
Regression model
Córdoba
Argentina
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140705
http://50jaiio.sadio.org.ar/pdfs/cai/CAI-23.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140705
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
NDVI
Soybean
Regression model
Córdoba
Argentina
spellingShingle Ciencias Informáticas
NDVI
Soybean
Regression model
Córdoba
Argentina
Nolasco, Miguel
Ovando, Gustav
Sayago, Silvina
Magario, Ivana
Bocco, Mónica
Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
topic_facet Ciencias Informáticas
NDVI
Soybean
Regression model
Córdoba
Argentina
description An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to its spatiotemporal coverage, for developing empirical models to predict and evaluate crop yields at regional and national scales.
format Objeto de conferencia
Resumen
author Nolasco, Miguel
Ovando, Gustav
Sayago, Silvina
Magario, Ivana
Bocco, Mónica
author_facet Nolasco, Miguel
Ovando, Gustav
Sayago, Silvina
Magario, Ivana
Bocco, Mónica
author_sort Nolasco, Miguel
title Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
title_short Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
title_full Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
title_fullStr Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
title_full_unstemmed Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
title_sort estimating soybean yield using time series of anomalies in vegetation indices from modis
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/140705
http://50jaiio.sadio.org.ar/pdfs/cai/CAI-23.pdf
work_keys_str_mv AT nolascomiguel estimatingsoybeanyieldusingtimeseriesofanomaliesinvegetationindicesfrommodis
AT ovandogustav estimatingsoybeanyieldusingtimeseriesofanomaliesinvegetationindicesfrommodis
AT sayagosilvina estimatingsoybeanyieldusingtimeseriesofanomaliesinvegetationindicesfrommodis
AT magarioivana estimatingsoybeanyieldusingtimeseriesofanomaliesinvegetationindicesfrommodis
AT boccomonica estimatingsoybeanyieldusingtimeseriesofanomaliesinvegetationindicesfrommodis
bdutipo_str Repositorios
_version_ 1764820459399938048

Ejemplares similares