Journal of Agriculture and Food Research (Sep 2023)

Impact of adoption of climate smart agricultural practices to minimize production risk in Ethiopia: A systematic review

  • Benyam Tadesse,
  • Murad Ahmed

Journal volume & issue
Vol. 13
p. 100655

Abstract

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Climate change influences agriculture in sub Saharan Africa. The climate-smart agriculture approach is emerging as a new paradigm for adapting agriculture to the changing climate and mitigation. The main aim of this review was to assess the climate smart agriculture practice, factors affecting it and impact of climate smart agriculture. It was conducted by following systematic review procedures. It includes defining a research problem, conducting a literature searches, evaluating relevant material, data analysis, synthesis, and interpretation; and presentation. The result indicated that the climate smart agriculture implemented in Ethiopia were agronomic practices, integrated soil fertility management, conservation agriculture, agroforestry system, irrigation. The factors that affect climate smart agriculture in Ethiopia were age of the family head, sex, household size, education level, distance to farm land, farm size, farming system, farm income source, off-farm income, access to irrigation, market access, access to agricultural credit, access to extension service, membership to organizations, farmers’ perceptions of rainfall shocks, crop yield, access to climate information, access to agricultural inputs, slope, agro ecology, change in precipitation, tenure security and livestock ownership. The impact of climate smart agriculture practice improves soil fertility status, increased crop yield, per capita nutrition consumption and dietary diversity, increased income of smallholder farmers, hence reducing poverty. Therefore, adopting different climate smart agriculture practice should be promoted in different parts of the country. In addition, the study was limited geographically to Ethiopia and it is better to incorporate the study in Africa and worldwide level.

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