Adoption of Climate Smart Agricultural Technologies among Smallholder Farmers in Semi-Arid Ghana

Ekua S. Odoom, Rose Afful, Adelina Mensah, D. Nukpezah, M. Shaibu, Darlington Sibanda
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Abstract

The evidence of climate change and variability in semi-arid Ghana is glaring and the adverse impact is being felt mostly by smallholder farmers because of their over dependence on agriculture for livelihood and subsistence. As a solution to building the resilience of the smallholder farmers, the Climate Smart Agriculture (CSA) concept was introduced a decade ago by the Food and Agriculture Organization, guided by three key principles of adaptation to climate change, greenhouse gas emissions reduction and promotion of food security. The paper sought to assess the level of awareness of climate smart agriculture practices and the respective rate of adoption of these practices. Moreso, this paper established how Normalised Difference Water Index (NDWI) and Land Surface Temperature (LST) affects the adoption rate of CSA practices or technologies. The study employed the explanatory sequential mixed research methods. A semi-structured questionnaire was used to collect data from 300 smallholder farmers and 16 focus group discussions were conducted, with a total of 180 persons taking part in the focus group discussions. Key informant interviews were also conducted for 11 relevant stakeholders from governmental and non-governmental institutions. Findings from this study reveal that CSA practices such as intercropping, manure management and mulching had a 100% adoption rate, and the least adopted practice was irrigation followed by dry season gardening. The NDWI and LST analysis concluded that Nandom is the most viable among the two municipals to support irrigation projects since it has more capacity to retain surface water during the dry and wet seasons.
气候智能型农业技术在半干旱加纳小农中的应用
在半干旱的加纳,气候变化和变化的证据是显而易见的,由于小农过度依赖农业来维持生计和生存,他们主要感受到气候变化的不利影响。气候智慧型农业(CSA)概念是粮农组织十年前提出的一项解决方案,旨在增强小农的抵御能力,以适应气候变化、减少温室气体排放和促进粮食安全三项关键原则为指导。本文试图评估对气候智能型农业实践的认识水平以及这些实践的采用率。此外,本文还建立了归一化差水指数(NDWI)和地表温度(LST)对CSA实践或技术采用率的影响。本研究采用解释序贯混合研究方法。采用半结构化问卷收集300名小农的数据,并进行了16次焦点小组讨论,共有180人参与了焦点小组讨论。还对来自政府和非政府机构的11个相关利益攸关方进行了主要举报人访谈。研究结果表明,套作、粪便管理和覆盖等CSA措施的采用率为100%,采用率最低的是灌溉,其次是旱季园艺。NDWI和LST的分析得出的结论是,在这两个城市中,南多姆是支持灌溉项目最可行的,因为它在旱季和雨季保留地表水的能力更强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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