<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>SEKU Repository</title>
<link>http://repository.seku.ac.ke:80</link>
<description>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</description>
<pubDate xmlns="http://apache.org/cocoon/i18n/2.1">Sun, 07 Jun 2026 13:23:30 GMT</pubDate>
<dc:date>2026-06-07T13:23:30Z</dc:date>
<item>
<title>Litho-structural mapping via machine learning and geodata on remotely sensed data in the Tharaka-Kanzungo, Kitui-Kenya</title>
<link>https://repository.seku.ac.ke/handle/123456789/8384</link>
<description>Litho-structural mapping via machine learning and geodata on remotely sensed data in the Tharaka-Kanzungo, Kitui-Kenya
Odek, Jerald; Boitt, Mark; Thiong’o, Kuria; Kariuki, Patrick C.
Litho-structural mapping is critical for resource exploration and hazard assessment, supporting economic development. This study applies Planetscope and ALOS Palser DEM data to conduct lithological and structural mapping in the Tharaka-Kanzungo region of Kenya's Northern Kitui County. The approach integrates support vector machine classification with manual (shaded relief) and automatic (PC Line module) lineament extraction. Planetscope’s high spatial resolution enabled effective rock unit discrimination, while ALOS Palser DEM data enhanced linear-structural analysis. SVM classification achieved 76.24% accuracy and a kappa of 70%, successfully identifying lithologies such as granitoid gneiss, semi-pelitic, calc-silicate, sillimanite-biotite, hornblendite, and crystalline limestone. Comparative results showed automatic methods detected more, shorter lineaments sensitive to texture and vegetation, whereas manual extraction captured fewer, longer, and distinct orientations. Stereographic projections further revealed tectonic features including shear foliations and lineations, aiding tectonic interpretation. The dominant NE-SW and NW-SE trends indicate structural influence on fluid pathways and potential mining zones. The integration of remote sensing techniques with ground-based validation produced a high-accuracy geological map, consistent with existing data. This approach demonstrates strong potential for updating maps and guiding mineral exploration in remote or inaccessible regions.
DOI: 10.7176/JEES/15-5-02
</description>
<pubDate>Fri, 31 Oct 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repository.seku.ac.ke/handle/123456789/8384</guid>
<dc:date>2025-10-31T00:00:00Z</dc:date>
</item>
<item>
<title>Role of Women Farmer Groups in the Adoption of Climate-Smart Agricultural Practices Under Private Sector-Led Extension in Kitui West Sub-County, Kitui County, Kenya</title>
<link>https://repository.seku.ac.ke/handle/123456789/8383</link>
<description>Role of Women Farmer Groups in the Adoption of Climate-Smart Agricultural Practices Under Private Sector-Led Extension in Kitui West Sub-County, Kitui County, Kenya
Kilonzo, Boniface K.; Kiruki, Harun M.; Mbala, Simon; Akuja, Thomas E.
Smallholder farmers in Kitui West Sub-county, Kitui County, rely heavily on rain-fed agriculture, making them highly vulnerable to climate variability and change. Climate-Smart  Agriculture (CSA)  provides  a  sustainable  approach  to  enhance productivity,  resilience,  and  environmental  conservation.  However,  adoption  of CSA practices remains uneven,  particularly among women farmers,  despite their significant role in agricultural production. This study examined the role of women farmer  groups  in  facilitating  the  adoption  of  climate-smart  agriculture  practices under  private  sector-led  extension  systems  in  Kitui  West  Sub-county.  A  mixed-methods approach was adopted, involving 196 smallholder farmers selected using Cochran’s sampling formula. In addition, purposive sampling was used to select women farmer groups, extension agents, and key stakeholders for interviews and focus  group  discussions.  Data  were  analysed  using  chi-square  tests  and  binary logistic  regression  in  SPSS.  The  findings  revealed  that  75.1%  of  respondents belonged  to  women  farmer  groups,  and  group  membership  was  significantly associated with CSA adoption (χ² = 10.842, p = 0.001). Frequency of meetings, perceived  benefits,  and  discussiontopics  were  also  significantly  associated  with CSA  uptake  (p  &lt;  0.05).  A  majority  (81.5%)  of  respondents  perceived  women farmer groups as critical drivers of CSA adoption. The study concludes that women farmer  groups  are  effective  platforms  for  promoting  CSA  through  knowledge sharing,   collective   learning,   and   access   to   extension   services.   The   study recommends strengthening private sector partnerships, enhancing access to training and financial services, and promoting gender-responsive extension systems
DOI: https://doi.org/10.37284/2707-4307
</description>
<pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repository.seku.ac.ke/handle/123456789/8383</guid>
<dc:date>2026-05-04T00:00:00Z</dc:date>
</item>
<item>
<title>Factors   driving   the   adoption   of   climate-smart   Agriculture   Practices Promoted by the Private Sector among Women Farmer Groups in Kitui West Subcounty, Kitui County, Kenya</title>
<link>https://repository.seku.ac.ke/handle/123456789/8382</link>
<description>Factors   driving   the   adoption   of   climate-smart   Agriculture   Practices Promoted by the Private Sector among Women Farmer Groups in Kitui West Subcounty, Kitui County, Kenya
Kilonzo, Boniface K; Kiruki, Harun M.; Mbala, Simon; Akuja, Thomas E.
Climate-smart  agriculture  (CSA)  has  been  promoted  as  a  smart  way  of improving farm productivity. However, adoption levels have been low despite concerted  efforts  by  both  public  and  private  sector  actors.  This  has  been attributed  to  reduced  access  to  extension  services,  credit,  and  markets, especially by women farmer groups who make a significant contribution to the adoption of CSA. By actively involving women, the private sector-led model has  far-reaching  benefits  in  that  women  are  usually  organised  into  farmer groups, learn easily, and therefore adopt sustainable agricultural practices with ease.  Guided  by  Diffusion  of  Innovation  Theory,  this  study  explored  the potential of women farmer groups in driving the uptake  of private sector-led adoption of climate-smart agriculture practices. A mixed-method approach was used,  where  qualitative  research  entailed  data  collection  through  interviews with 19 women farmer groups, private sector representatives, and stakeholders, while  the  quantitative  method  involved  administering  questionnaires  to  196 farmers. Collected data was analysed using the Statistical Package for Social Sciences (SPSS) software. Results indicated that women farmers belonging to organised groups were more likely to adopt CSA practices than non-members (p  &lt;  .05).  The  findings  also  revealed  that  women  farmer  groups  play  a facilitative  role  by  enabling  peer  learning,  resource  pooling,  and  collective engagement with private sector actors. Results showed that women with access to institutional support, particularly extension and credit services, were more likely to adopt CSA practices than those without such support (p &lt; .05). The study  recommends  strengthening  private  sector–led  training  and  extension initiatives with a deliberate focus on women farmer groups. Second, policies should prioritise the formation and strengthening of women farmer groups as a strategy  for  scaling  CSA  practices.  Third,  government  and  development partners should enhance access to affordable credit and inputs through gender-responsive financing mechanisms to address key institutional barriers.
DOI: https://doi.org/10.37284/eajab.9.1.4880
</description>
<pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repository.seku.ac.ke/handle/123456789/8382</guid>
<dc:date>2026-04-26T00:00:00Z</dc:date>
</item>
<item>
<title>HLS 223: Clinical pharmacology</title>
<link>https://repository.seku.ac.ke/handle/123456789/8381</link>
<description>HLS 223: Clinical pharmacology
South Eastern Kenya University
April, 2025
</description>
<pubDate>Wed, 30 Apr 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repository.seku.ac.ke/handle/123456789/8381</guid>
<dc:date>2025-04-30T00:00:00Z</dc:date>
</item>
</channel>
</rss>
