Undoubtedly, integrated crop-livestock systems and agroforestry systems appear today as promising systems at an economic, social and environmental level. This is how statistics show worldwide. But because these systems are operationally complex to manage, it is necessary to use mathematical or computational models that allow simulating the maximization of production and net revenue, as well as the optimization of operations related to animal movement, rotation or consortium of cultures, among many others. Optimization of ...
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Undoubtedly, integrated crop-livestock systems and agroforestry systems appear today as promising systems at an economic, social and environmental level. This is how statistics show worldwide. But because these systems are operationally complex to manage, it is necessary to use mathematical or computational models that allow simulating the maximization of production and net revenue, as well as the optimization of operations related to animal movement, rotation or consortium of cultures, among many others. Optimization of production and net revenue in integrated farming-livestock systems and agroforestry systems, begins by presenting a model that represents the sustainable viability of a set of agricultural crops, and then a set of computational procedures that are easy to implement, which maximize production and revenue of certain crops with limited inputs, and fixed cost (or expense) of the inputs, which seek optimal consortia between agricultural, forage and tree crops in agroforestry systems, which select crops and planting months with maximum net revenue and minimum possible input prices and that generate optimal schedules in integrated crop-livestock systems. In general, all procedures constructed and presented in this book are based on elements of mathematical programming (linear programming, non-linear programming, binary programming and mixed integer programming).
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