PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 12, 20260 citationsOpen Access

Adoption Dynamics of Climate-Smart Agriculture Practices among Yawanwa Farmers in Northern Uganda,: A Mixed-Methods Study

View Full Paper
OOOsmany Okello

Key Points

  • This research examines how income levels affect the adoption of climate-smart agriculture practices among Yawanwa farmers.
  • Utilized longitudinal data from farmer interviews, surveys, and field observations.
  • Analyzed both quantitative and qualitative aspects of CSA implementation.
  • Evaluated adoption rates based on farmer income levels.
  • 35% of farmers reported significant yield improvements from CSA practices.
  • 20% faced challenges, particularly financial constraints.
  • Higher adoption rates were observed among wealthier farmers due to their ability to invest in technology and inputs.

Abstract

Climate-smart agriculture (CSA) practices are crucial for sustainable agricultural development in Uganda's semi-arid regions. The study employs longitudinal data from farmer interviews, surveys, and field observations to explore both quantitative and qualitative aspects of CSA implementation. Farmers adopted CSA practices at varying rates: 35% reported significant yield improvements, while 20% faced challenges related to financial constraints. Adoption levels varied significantly based on farmer income levels, with higher adoption among wealthier farmers who could afford the initial investments in technology and inputs. Support programmes should prioritise training for low-income farmers and provide incentives for adopting CSA practices to ensure equitable benefits across different socio-economic groups. Climate-Smart Agriculture, Yawanwa Farmers, Northern Uganda, Adoption Dynamics

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Osmany Okello (2010) studied this question.

synapsesocial.com/papers/69b2588496eeacc4fcec844ehttps://doi.org/10.5281/zenodo.18917202
Ask AI
Helpful
Bookmark
Share
View Full Paper