Prediction of crop yield using satellite vegetation indices combined with machine learning approaches-Reference-Cited by-同舟云学术

Prediction of crop yield using satellite vegetation indices combined with machine learning approaches

Published:2023-11 Issue:9 Volume:72 Page:3998-4007
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Jhajharia Kavita^ORCID,Mathur Pratistha

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference25 articles.

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3. Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics;Bolton;Agric. For. Meteorol.,2013

4. Application of MODIS derived parameters for regional crop yield assessment;Doraiswamy;Remote Sens. Environ.,2005

5. Crop yield estimation by satellite remote sensing;Ferencz;Int. J. Remote Sens.,2004

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