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The steps involved in modelling, focusing on agricultural systems. It covers principles such as simplicity, learning from past experiences, and creating conceptual models. The document also discusses the use of modelling as a research tool, the optimization of agricultural inputs, and policy analysis. It highlights the importance of considering best management practices, yield costing, and sustainable agriculture. The document also mentions the limitations of modelling, including interaction, reality, and knowledge, and the need for calibration, validation, and model verification.
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9 output analysis 10 Report on Model Analysis problem