A cluster analysis of variables essential for climate change adaptation of smallholder dairy farmers of Nandi Country, Kenya

Jesse Omondi Owino, Daniel Olago, S.O. Wandiga, O.A. Ndambi

Research output: Contribution to journalArticleProfessional

Abstract

Smallholder dairy farmers occupy high potential areas of Kenya and are a source of manure, crops and milk. There is need to use other means of characterising smallholder dairy farmers as they mostly practice mixed farming. The objective of this paper is to use cluster analysis method to characterize the smallholder dairy farmers with added farmer and activity data variables. Clusters of 336 farmers in this study were derived using 28 key variables. This paper demonstrates how to conduct farmer assessments for climate change adaptation activities, climate smart technologies implementation using knowledge of key farmer variables and their distribution in the smallholder dairy farmers of Nandi County, Kenya. This paper demonstrates the importance of integrating agricultural information for smallholder dairy farmers to machine models to characterize the groups and observe the natural groupings. This allows for policy managers to know the key characteristics and how to use them in policy implementation especially in designing climate change adaptation programs factoring education and training of farmers as demonstrated in this paper that they are practicing many activities on their farms.
Original languageEnglish
Article number4C22C1464287
Pages (from-to)1007-1014
JournalAfrican Journal of Agricultural Research
Volume16
Issue number7
DOIs
Publication statusPublished - Jun 2020

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