O planejamento das rota??es de culturas agr?colas e tr?nsito animal utilizando programa??o inteira bin?ria

• Ano de defesa: 2017
• Autor(a) principal: Oliveira, Deumara Galdino de
• Orientador(a): Delgado, Angel Ramon Sanchez
• Banca de defesa: Ventura, Sergio Drumond, Tassinari, Wagner de Souza, Machado, Pedro Paulo da Cunha, Genuncio, Glaucio da Cruz
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal Rural do Rio de Janeiro
• Programa de Pós-Graduação: Programa de P?s-Gradua??o em Ci?ncia, Tecnologia e Inova??o em Agropecu?ria
• Departamento: Pr?-Reitoria de Pesquisa e P?s-Gradua??o
• País: Brasil
• Palavras-chave em Português: Integra??o Lavoura-Pecu?ria; Rota??o de culturas agr?colas; Planejamento; Sustentabilidade
• Palavras-chave em Inglês: Crop-livestock integration; Crop rotation; Planning; Sustainab
• Área do conhecimento CNPq: Agronomia
• Link de acesso: https://tede.ufrrj.br/jspui/handle/jspui/2406

The sustainability in agriculture can be hampered by inadequate management, such as in the practice of monocultures, or by degradation of pastures. In both situations, the productivity drops. In contrast, the production system based on the adoption of Crop-Livestock Integration rotation of crops has many benefits, such as the diversified food production, improvement of the physical, chemical and biological soil properties, increased stability production, replenishment of organic matter, reducing costs of agricultural activity due to the optimization of the use of inputs, control weeds, pests and diseases. It is noted the need for planning actions that have to be implemented in the adoption of this management, because the system of production based on the ILP is complex, in order for the framer to obtain success. The objective of this thesis is to develop and to implement a linear programming model (PL) that will provide as a result a schedule with the best selection of crops in each glebe per period and with the greatest weight gain of each animal. As well as in other areas, the PL in agriculture aims to obtain a solution that provides the best efficiency in the use of resources, since they are increasingly scarce. Thus, it is important to search for solutions that provide as a result the ideal combination between them and that will lead to better performances in agriculture, generating higher productivity and profitability. The linear programming model was developed from empirical work conducted by Alvarenga and Neto (2008) at Embrapa Maize and Sorghum research center (Sete Lagoas, MG) in an area of 24 hectares. For the implementation of the computational model data on agricultural suitability and weight gain of the animal in each period and in each glebe were needed. In order to test the mathematical model developed, values for agricultural suitability and of weight gain of animal were generated at random using the solver of MATLAB 7.4. With this, it was possible to perform the implementation of the computational linear programming model in MATLAB. There were conducted two trials; the first considering four periods, four tracts and transit of two animals, and the second with ten periods, four tracts and transit of three animals. The results show that the linear programming model is consistent with the empirical work conducted by Alvarenga and Neto (2008). The linear programming model satisfies all the restrictions imposed, maximizes the weight gain of each animal and provides the best selection of crops