C Conferentia Proceedings
NSC2016-0031 Modeling, Numerical Simulation and Optimization

Dynamic optimization model to control weed infestation by herbicide rotation

Elenice W. Stiegelmeier1; Marcos M. Furlan2; Renan F. Correa1; Vilma A. Oliveira3; Geral N. Silva4

1 Universidade Tecnológica Federal do Paraná; 2 Universidade Federal da Grande Dourados; 3 Universidade de São Paulo; 4 Universidade Estadual Paulista

doi:10.20906/CPS/NSC2016-0031

Resumo

We propose a dynamic optimization model for weed infestation control using selective herbicide application in a corn crop system. The weed population model is based on the life cycle of weeds present in a single agricultural field. This model incorporates the weed resistance to herbicides that occurs on account of an evolutionary process. Additionally, we propose a weed control strategy based on herbicide rotation aimed at reducing the use of herbicides, maximizing economic returns and minimizing the environmental impacts caused by excessive use of herbicide, using a mixed integer nonlinear programming problem solved by the branch and bound method.

Palavras-chave: Modeling; Numerical Simulation; Optimization; Nonlinear dynamics; Weed control

Como citar

Elenice W. Stiegelmeier; Marcos M. Furlan; Renan F. Correa; Vilma A. Oliveira; Geral N. Silva. “Dynamic optimization model to control weed infestation by herbicide rotation”. 6th International Conference on Nonlinear Science and Complexity. NSC2016. 2016. DOI: 10.20906/CPS/NSC2016-0031