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Linkage Models: Economic Key Drivers and Agricultural Production

In: Artificial Intelligence and Heuristics for Enhanced Food Security

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  • Chandrasekar Vuppalapati

    (San Jose State University)

Abstract

This chapter introduces the linkage models that explain the relationship among agricultural production, macroeconomic variables, co-movement variables, and farm inputs such as labor and fertilizer costs. The chapter deep dives on each of the important linkage model variables and explains its relation to machine learning models developed in the chapter. Additionally, it explains the food-versus-fuel conundrum and the role it plays in food security. Next, the chapter introduces the linkage models for two use cases: the Australia Macroeconomic Drivers and Sugarcane Production Predictive Model and Myanmar’s Macroeconomic Drivers and Rice Production Predictive Model. Finally, the chapter concludes with highly influential exogenous weather variable on multifaceted weather variable and implications of severe weather on global commerce and food security.

Suggested Citation

  • Chandrasekar Vuppalapati, 2022. "Linkage Models: Economic Key Drivers and Agricultural Production," International Series in Operations Research & Management Science, in: Artificial Intelligence and Heuristics for Enhanced Food Security, chapter 0, pages 699-785, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-08743-1_9
    DOI: 10.1007/978-3-031-08743-1_9
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