{"id":9689,"date":"2025-12-09T11:27:11","date_gmt":"2025-12-09T11:27:11","guid":{"rendered":"https:\/\/kibu.ac.ke\/sgs\/?p=9689"},"modified":"2025-12-09T11:32:49","modified_gmt":"2025-12-09T11:32:49","slug":"adoption-of-machine-learning-technologies-in-mitigation-of-climate-change-risks-in-north-rift-kenya","status":"publish","type":"post","link":"https:\/\/kibu.ac.ke\/sgs\/adoption-of-machine-learning-technologies-in-mitigation-of-climate-change-risks-in-north-rift-kenya\/","title":{"rendered":"ADOPTION OF MACHINE LEARNING TECHNOLOGIES IN MITIGATION OF CLIMATE CHANGE RISKS IN NORTH RIFT, KENYA"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"9689\" class=\"elementor elementor-9689\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d24315d elementor-section-full_width elementor-section-height-min-height elementor-section-items-stretch elementor-section-height-default\" data-id=\"6d24315d\" data-element_type=\"section\" id=\"ourgoal\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-66b38479\" data-id=\"66b38479\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-21744318 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"21744318\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">ADOPTION OF MACHINE LEARNING TECHNOLOGIES IN MITIGATION OF CLIMATE CHANGE RISKS IN NORTH RIFT, KENYA<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4a463dfc elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"4a463dfc\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-24341223\" data-id=\"24341223\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-618c2929 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"618c2929\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-6288db33 elementor-invisible\" data-id=\"6288db33\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-74deecb9 elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"74deecb9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2025<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-1aa94ef elementor-invisible\" data-id=\"1aa94ef\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-75124cbb elementor-widget elementor-widget-heading\" data-id=\"75124cbb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Authors<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45a1bcb8 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"45a1bcb8\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Eric Sifuna Siunduh<br \/>Anselemo Peters Ikoha<br \/>Martha Muthoni Konje<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-2d983be1 elementor-invisible\" data-id=\"2d983be1\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;,&quot;animation_mobile&quot;:&quot;none&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-52d075c1 elementor-tablet-align-left elementor-invisible elementor-widget elementor-widget-button\" data-id=\"52d075c1\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInLeft&quot;}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-shrink\" href=\"http:\/\/ijaser.org\/certificates\/IJASER_236.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">VIEW ON PUBLISHER SITE<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f980532 elementor-widget elementor-widget-heading\" data-id=\"6f980532\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25598853 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"25598853\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This study examines the implementation and effectiveness of Machine Learning (ML) technologies in addressing climate change risks within Kenya&#8217;s North Rift region. The research investigates how ML<br \/>applications are being utilized to enhance climate resilience, improve agricultural practices, and support decision-making processes in climate risk management. Through a mixed-methods approach combining quantitative data analysis and qualitative stakeholder interviews, this study evaluates the current state of ML adoption, identifies key challenges, and assesses the impact on local communities. Findings indicate that while ML adoption is still in its early stages, there is significant potential for these technologies to improve climate risk prediction, optimize resource allocation, and enhance adaptation strategies. The study reveals that successful implementation requires addressing infrastructure limitations, building local capacity, and ensuring community engagement. This research contributes to the growing body of knowledge on technological solutions for climate change adaptation in developing regions and provides practical recommendations for policymakers and practitioners.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>2025 Authors Eric Sifuna SiunduhAnselemo Peters IkohaMartha Muthoni Konje VIEW ON PUBLISHER SITE Abstract This study examines the implementation and effectiveness of Machine Learning (ML) technologies in addressing climate change risks within Kenya&#8217;s North Rift region. The research investigates how MLapplications are being utilized to enhance climate resilience, improve agricultural practices, and support decision-making processes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-9689","post","type-post","status-publish","format-standard","hentry","category-publications"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ADOPTION OF MACHINE LEARNING TECHNOLOGIES IN MITIGATION OF CLIMATE CHANGE RISKS IN NORTH RIFT, KENYA - School of Graduate Studies<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kibu.ac.ke\/sgs\/adoption-of-machine-learning-technologies-in-mitigation-of-climate-change-risks-in-north-rift-kenya\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ADOPTION OF MACHINE LEARNING TECHNOLOGIES IN MITIGATION OF CLIMATE CHANGE RISKS IN NORTH RIFT, KENYA - School of Graduate Studies\" \/>\n<meta property=\"og:description\" content=\"2025 Authors Eric Sifuna SiunduhAnselemo Peters IkohaMartha Muthoni Konje VIEW ON PUBLISHER SITE Abstract This study examines the implementation and effectiveness of Machine Learning (ML) technologies in addressing climate change risks within Kenya&#8217;s North Rift region. 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