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dc.contributor.authorHalbrendt, Jacqueline
dc.contributor.authorGray, S.
dc.contributor.authorCrow, S.
dc.contributor.authorShariq, L.
dc.contributor.authorTamang, Bishal B.
dc.coverage.spatialHonolulu
dc.coverage.spatialHawaii
dc.coverage.spatialPokhara
dc.coverage.spatialNepal
dc.coverage.temporal2012 - 2012
dc.date.accessioned2016-04-19T20:29:37Z
dc.date.available2016-04-19T20:29:37Z
dc.date.issued2012
dc.identifier5786
dc.identifier.citationPresented at the 24th Annual University of Hawaii at Manoa’s College of Tropical Agriculture and Human Resources and College of Engineering Student Research Symposium, Honolulu, HI 13-14 April 2012
dc.identifier.other5786_CTAHRsymp12.pptx
dc.identifier.urihttp://hdl.handle.net/10919/69990
dc.description.abstractWith the world population having reached unprecedented levels, the need for improved food security and sustainable agricultural practices has become all the more pressing. This is especially relevant for subsistence farmers, such as those in the Mid-hill region of Nepal, who typically rely on crop yields for sustenance and have limited access to opportunities for income generation. Although promoting agricultural development in areas like the Mid-hill region has been a priority for NGOs and researchers, gaps in understanding the knowledge and values of rural communities remains a challenge to a the adoption of such technologies. Fuzzy Cognitive Mapping (FCM) is an approach that identifies the key factors and relative importance of such factors in the decision-making processes within a community. FCM was used to identify and map the factors involved in decision-making regarding the adoption of conservation agricultural practices in three villages in Central Nepal. Face-to-face interviews with farmers were conducted to develop an initial list of relevant factors, followed by extensive surveys conducted with both farmers and in-country NGO staff and researchers to develop the “mental models” used by these groups to guide decision-making. Mental models of the groups were quantitatively compared to determine differences between stakeholder groups. The results show significant differences between farmers and experts, as well as between villages. Such variation in the perception of agricultural practices can be attributed to differences in formal training, farming experience, soil conditions and culture. This research can be applied to improve understanding of cultural decision-making and values for improved transfer of sustainable agricultural technologies.
dc.format.mimetypeapplication/vnd.ms-powerpoint
dc.language.isoen_US
dc.publisherHonolulu HI: College of Tropical Agriculture and Human Resources, Department of Natural Resources and Environmental Management
dc.subjectConservation agriculture
dc.subjectLocal knowledge
dc.subjectSmall-scale farming
dc.subjectFood security
dc.subjectModeling
dc.subjectTraditional farming
dc.subjectAgriculture
dc.subjectConservation agriculture
dc.subjectFood security
dc.subjectLocal knowledge
dc.subjectDecision making
dc.subjectSmall-scale farming
dc.subjectTraditional farming
dc.subjectModeling
dc.subjectKhola Gaun
dc.subjectHyrakrang
dc.subjectThumka villages
dc.subjectPokhara
dc.subjectNepal
dc.subjectFarm/Enterprise Scale
dc.titleUsing fuzzy cognitive mapping to understand farmers' perception of sustainable agricultural practices for enhanced food security in Nepal
dc.typePoster
dc.description.notesLTRA-11 (CAPS among tribal societies in India and Nepal)
dc.type.dcmitypeText


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