Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia

James Warner WEBINAR Using Satellite Imagery for Early Warning of Productivity Constraints Organized by the Food Security Portal (FSP) OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT

Detalles Bibliográficos
Autor principal: Warner, James
Formato: Ponencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Acceso en línea:https://hdl.handle.net/10568/133774
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author Warner, James
author_browse Warner, James
author_facet Warner, James
author_sort Warner, James
collection Repository of Agricultural Research Outputs (CGSpace)
description James Warner WEBINAR Using Satellite Imagery for Early Warning of Productivity Constraints Organized by the Food Security Portal (FSP) OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
format Ponencia
id CGSpace133774
institution CGIAR Consortium
language Inglés
publishDate 2019
publishDateRange 2019
publishDateSort 2019
record_format dspace
spelling CGSpace1337742025-11-06T07:42:38Z Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia Warner, James agriculture food security crops monitoring crop yield remote sensing food forecasting yield ethiopia satellite crop yield forecasting James Warner WEBINAR Using Satellite Imagery for Early Warning of Productivity Constraints Organized by the Food Security Portal (FSP) OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT 2019-11-21 2023-11-10T09:08:13Z 2023-11-10T09:08:13Z Presentation https://hdl.handle.net/10568/133774 en Open Access application/pdf
spellingShingle agriculture
food security
crops
monitoring
crop yield
remote sensing
food
forecasting
yield
ethiopia
satellite
crop
yield forecasting
Warner, James
Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia
title Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia
title_full Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia
title_fullStr Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia
title_full_unstemmed Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia
title_short Predicting High-Magnitiude, Low-Frequency Crop Losses Using Machine Learning: An Application to Cereal Crops in Ethiopia
title_sort predicting high magnitiude low frequency crop losses using machine learning an application to cereal crops in ethiopia
topic agriculture
food security
crops
monitoring
crop yield
remote sensing
food
forecasting
yield
ethiopia
satellite
crop
yield forecasting
url https://hdl.handle.net/10568/133774
work_keys_str_mv AT warnerjames predictinghighmagnitiudelowfrequencycroplossesusingmachinelearninganapplicationtocerealcropsinethiopia