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Comprehensive Methodology for Agricultural Economic Analysis and AI Integration

This project document outlines a rigorous methodology for characterizing scenarios, based data, and hypothesis within agricultural economics. It presents an expert-level approach to solving restrictions and ensuring quality assurance, emphasizing the importance of authentic results. The Gödöllő workgroup aims to validate outcomes, support procurement decisions, and evaluate competitor analyses. Key tasks include integrating AI-based forecasts, creating a socio-economic index for iterative evaluations, and improving the stability of Hungarian negotiation positions. A detailed evaluation of OECD and FAPRI data is provided, alongside suggestions for enhancing IDARA databases and microeconomic controls.

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Comprehensive Methodology for Agricultural Economic Analysis and AI Integration

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  1. Classical projectdocumentation: Scenarios, basedata & hypothesis characterization Outlining important numerical values and Interpretation Visualisation results Describing suggestions Methodology: trying universal and automatic solutions with solving restrictions at expert level Know how and Quality assurance Starting point: The valued results speak for itself,if any argument can be disproved… Purposes of the Gödöllő workgroup: To base the authenticity of the results, to evaluate the competitor analyses, to support the procurer in choosing the most probable result. Tasks (know how): To assure consistent basedata To integrate Artificial Intelligence based forecasts Working out a social-economic index system for evaluating automatical and iteratively the results To evaluate the simulations on an expert system base To evaluate analyses of OECD & FAPRI Suggestions: Improving IDARA databases for the stability of the Hungarian negotiations positions Supporting the international agricultural economical database and the consolidation of the concept set. Performing microeconomical control calculations IDARA: Agr. sector-modelling

  2. Appendix • OECD basedata and the authenticity of the analyses • Comparing FAPRI, OECD, FAO data • Evaluating KSH territory datasets • OTKA-study • Checking livestocks • I_sim_hu results: sol.xls & balance.xls The presentation stuffs can be reached underhttp://miau.gau.hu/miau/51URL …

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