A Cluster Analysis of Variables Essential for Climate Change Adaptation of Smallholder Dairy Farmers of Nandi County Kenya
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Date
2020Author
Owino, Jesse
Wandiga, Shem
Olago, Daniel
Oghaiki, Asaah N
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
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.
Citation
Owino JO, Olago D, Wandiga SO, Ndambi A. "A cluster analysis of variables essential for climate change adaptation of smallholder dairy farmers of Nandi County, Kenya." African Journal of Agricultural Research. 2020;16(7):1007-1014.Publisher
University of Nairobi
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Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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