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AgroTerria, an innovative agritech company, focuses on providing a digital platform on the cocoa agricultural value chain. For its future activities, the project aims to build a comprehensive database of farmers and their practices, usable by other actors in the ecosystem.
They are willing to share one part of this database as digital public good, licensed under a CC BY SA 4.0 license that can be adapted by anyone to support the development of the agricultural sector in Ghana.
By gathering and analyzing data on farmer demographics, agricultural practices, and market access, AgroTerria seeks to provide actionable insights that will drive targeted interventions and support sustainable growth. This initiative is designed to enhance productivity, strengthen cooperatives, and improve access to resources and training. Beyond the Bono Region, the insights gained can be leveraged to benefit other regions in Ghana with similar characteristics and challenges, fostering synergies and promoting broader agricultural development across the country.
Survey Design and Sampling: Develop structured questionnaires tailored to capture key data on demographics, agricultural practices, cooperative membership, and access to services. Employ stratified random sampling to ensure representation of different farmer demographics, farm sizes, and geographical locations within the Bono Region. Target a sample size large enough to provide statistically significant data, focusing on both individual farmers and cooperatives.
Data Collection Tools: Utilize digital tools and mobile applications for real-time data collection, leveraging GPS-enabled devices to accurately map farmer locations and cooperatives.Train field agents and data collectors on the use of these digital tools to ensure consistent and accurate data entry.
Field Data Collection: Deploy field agents to conduct face-to-face interviews with farmers and cooperative leaders, ensuring comprehensive data collection.Use focus group discussions with farmer cooperatives to gather qualitative insights on cooperative dynamics, challenges, and opportunities for growth.Conduct observational studies to verify data on farming practices, crop types, and land use patterns.
Remote Sensing and GIS Mapping: Integrate remote sensing technologies to capture satellite imagery and aerial data, mapping land use, crop distribution, and environmental conditions across the region. Use GIS (Geographic Information System) software to analyze spatial data, identifying patterns and trends in agricultural practices and resource distribution.
Data Integration and Analysis: Combine survey data with remote sensing and GIS data to create a comprehensive database, enabling detailed analysis of agricultural practices and resource allocation. Employ statistical software to analyze quantitative data, identifying correlations and trends related to farm productivity, cooperative efficiency, and economic outcomes. Use qualitative analysis tools to process and interpret insights from focus group discussions and interviews, providing context to the quantitative findings.
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