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Browsing Presentations by Subject "Agriculture"
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- ItemAccess to Finance for Inclusive Agri-Business Development(2012-06-17) Barclay O’BrienThis material provides an overview of the financial landscape and access to finance for inclusive businesses (IBs) and small and medium enterprises (SMEs) in Bangladesh. The Business Innovation Facility (BIF) Bangladesh, a UKaid-funded project, aims to support IBs with profitable core business activities benefiting the poor and disadvantaged. The material discusses the role of SMEs and agriculture in poverty reduction and economic growth, highlighting the challenges and opportunities in accessing finance. It examines the economic environment, the contributions of different sectors to GDP, and the overlap between agriculture and SMEs. Access to finance is crucial for empowering people and protecting them against economic shocks, and the material explores the importance of financial inclusion. It discusses the role of the government, banks, non-bank financial institutions, microfinance institutions (MFIs), and other finance providers in lending to SMEs and agriculture. The products and services offered by banks, MFIs, equity providers, and other finance providers are also discussed. The material provides insights into the issues faced by finance providers and suggests recommendations for clients to improve their credit readiness. It emphasizes the need for coordination between finance providers and third-party assistance to support potential clients. Overall, the material highlights the importance of enhancing access to finance for SMEs and agriculture to promote inclusive growth in Bangladesh.
- ItemIFDC Modelling and Mapping Information System(IFDC, 2023) IFDCThe publication discusses the importance of spatial analyses in determining the appropriate use and amount of fertilizers for different soil types, crops, weather conditions, and socio-economic factors. The research aims to optimize nutrient use efficiency, logistics, fertilizer value chain, and marketing strategies while assessing regional and national production volumes. The study utilizes legacy and new data, crop-soil modelling, advanced statistics, and machine learning to provide location and crop-specific fertilizer recommendations, yield predictions, and production volumes. Spatial mapping using machine learning and geostatistical methodologies is utilized to make baseline maps and adjust them with increasing data points. Soil chemical and physical properties, weather conditions, and fertilizer yield responses are analyzed to determine the appropriate fertilizer recommendation rates. The analysis provides insights into the optimal NPK composition and application rates for different soil types and crops and helps to identify the drivers for variability in crop yields.
- ItemVoucher Schemes for Enhanced Fertilizer Use: Lessons Learned and Policy Implications(2012-01-25) Ian Gregory; David RohrbachThis presentation delves into the efficacy, challenges, and policy implications of voucher schemes aimed at enhancing fertilizer use in agriculture. It scrutinizes historical perspectives, ranging from the universal application of traditional fertilizer subsidies during the Green Revolution to their subsequent pitfalls. Through case studies from various countries like Malawi, Ghana, and Tanzania, the presentation evaluates the outcomes of voucher programs in terms of poverty reduction, food security, and market development. Key considerations include clear program objectives, farmer targeting, private sector involvement, and the necessity of a minimum three-year implementation period. Lessons learned underscore the importance of holistic market development, efficient targeting, and sustainable exit strategies. The presentation concludes by discussing future directions, including the exploration of smart vouchers and ICT-based systems, alternative exit strategies, and third-party monitoring for improved management.