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Climate Smart Maize in Sub Saharan Africa: An Integrated Evaluation Using Agro Technologies and Climate Projections


Journal of Smart and Sustainable Farming

Received On : 30 July 2025

Revised On : 31 August 2025

Accepted On : 25 October 2025

Published On : 02 November 2025

Volume 01, 2025

Pages : 196-205


Abstract

This paper evaluates the effects of the climate smart agriculture (CSA) practice through scenario-based modelling, in 3 climate change vulnerable SSA (sub) regions (Malawi, Tanzania, and Zambia). Effects of two Agri techno pathways, including Low Tech (LT) and High Tech (HT) on the intensity of greenhouse gases emissions, water productivity and maize yield were contrasted and identified under two climate scenarios (RCP2.6 and RCP 8.5). To aid in cross-scenario and cross-country comparison, a climate smartness index (CSI) was created, which included productivity, resource use efficiencies, mitigation and resource use efficiencies. Findings show that HT futures have significant CSI value improvements, with the majority of these improvements being in the areas of yield increase, water-use efficiency, and unit grain emissions. Irrigation and uptake of better maize varieties also mitigate the yield shock and this shows the importance of interventions through technology in ensuring that agricultural systems are developed in a manner that is climate-resilient.

Keywords

Climate-Smart Agriculture, Maize Productivity, Sub-Saharan Africa, Agro -Technological Development, Climate Smartness Index, Water Productivity, Greenhouse Gas Emissions.

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The authors would like to thank to the reviewers for nice comments on the manuscript.

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© 2025 Snethemba Zulu. The author(s) retain copyright of the work. The author(s) grant the Journal of Smart and Sustainable Farming (JSSF) and its publisher, Ansis Publications, the right of first publication and the right to identify itself as the original publisher of the article.

Cite this Article

Snethemba Zulu, “Climate Smart Maize in Sub Saharan Africa: An Integrated Evaluation Using Agro Technologies and Climate Projections”, Journal of Smart and Sustainable Farming, pp. 196-205, 2025, doi: 10.64026/JSSF/2025019.