Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers

Saved in:
Bibliographic Details
Published in:PLOS Climate
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030192874291200
collection WordPress RSS
FRELIP Feed Integration
container_title PLOS Climate
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:39256
institution FRELIP
journal_source_facet PLOS Climate
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
— — — — — — Climate Change
Climate & Atmospheric Sciences
Environmental Sciences
sub_discipline_display Climate & Atmospheric Sciences
sub_discipline_facet Climate & Atmospheric Sciences
subject_display — — — — — — Climate Change
Climate & Atmospheric Sciences
Environmental Sciences
— — — — — — Climate Change
Climate & Atmospheric Sciences
Environmental Sciences
subject_facet — — — — — — Climate Change
Climate & Atmospheric Sciences
Environmental Sciences
title Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
title_auth Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
title_full Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
title_fullStr Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
title_full_unstemmed Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
title_short Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
title_sort comparative and complementary use of bayesian inference and supervised learning for predictive modeling of coffee rust incidence among kenyan smallholder farmers
topic — — — — — — Climate Change
Climate & Atmospheric Sciences
Environmental Sciences
url https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000754