Social Sciences and Humanities > Home > Science, Technology, Development > Issue
This study investigates the role of Historic Building Information Modeling (HBIM) in preserving colonial and post-colonial dams, highlighting its potential for conservation and management. Using an integrative approach, the research explores the historical significance of these dams, evaluates existing methodologies, and proposes a tailored HBIM workflow for the Democratic Republic of Congo (DRC). The workflow emphasizes data integration from geomatics technologies, cultural heritage attributes, and digital modeling. Case studies of iconic dams, paired with historical insights, showcase the feasibility and adaptability of HBIM in this unique context. The proposed framework offers a robust tool for stakeholders to preserve Congolese heritage infrastructure efficiently while fostering sustainable development.
The objective of this article is to estimate adoption rates and factors determining certified seeds developed by research institutions. Using data from annual agricultural surveys (EAA) of the Department of Analysis, Forecasting and Agricultural Statistics (DAPSA) from 2018-2019. The results reveal a potential adoption rate at the household level of 72.86% and a current adoption rate of certified seeds of 18.25%. This level of adoption could have been effective if all farmers had been informed, made aware and supported. However, it is still possible to improve the adoption rate considerably by implementing a strategy to identify producers likely to adopt. However, the work reveals that apart from exposure, other factors such as insurance, membership in a PO, transfer of funds, subsidy, male gender and cereal cultivation are determinants significant in the adoption of certified seeds.
