A Framework for the Sustainable Control and Optimization of Resources in Agriculture

Author(s)

Pereira, Fernando Lobo ; Pena, Ismael ; Silva, Geraldo Nunes ; IEEE

• Document type: Journal article
• Source: 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC); v. N/A, p. 6-pg., 2019-01-01.

Abstract

This article concerns the issue of optimizing strategies of resources management in Agriculture. The increasing human population, and the anthropogenic environmental impacts resulting from the current agricultural food production practice raise tremendous challenges as the latter constitutes a huge threat to the overarching goal of eliminating hunger from the Earth's face. The contribution of this article consists in showing the stability and convergence of a bi-level optimization based control architecture to de-conflict the short-term profit-seeking goals of each agricultural production unit with the long-term goal of attaining the collective environmental equilibrium required to preserve the necessary food production efficiency level. Given the complexity of any realistic scenario, we consider a very simple context clarifying the core mathematical issues of a bi-level control architecture previously proposed by the authors that, under reasonable assumptions, generates control strategies ensuring the asymptotic convergence to an environmentally healthy equilibrium while ensuring the economic (and, thus, social) short term sustainability. (AU)

• FAPESP's process: 13/25135-6 - Control Arquiteture for resource management in agriculture
• Grantee: Ismael da Silva Pena
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
• Grantee: Francisco Louzada Neto
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
• FAPESP's process: 18/08036-8 - Multi-agent control and estimation for multi-horizon goals conciliation
• Grantee: Geraldo Nunes Silva
• Support Opportunities: Regular Research Grants