Rodrigo Conde, Franco Robledo, Agustín López de Lacalle
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Silvopastoral and agroforestry systems: An integer linear programming model for investment decisions
Since the countryside is one of the main drivers of the global economy, it is vital to support its technological development. When a potential investor contemplates agribusiness investments, several alternatives are presented to him, including forestry, livestock raising, and silvopastoralism, which consists of integrating both activities into a single agroforestry system. In this paper, we address the problem of designing a portfolio of agroforestry investments that maximizes economic results. In order to do so, we developed an integer linear programming model, which selects the optimal combination of the three aforementioned activities for a zoned field. This model was created from a national perspective, considering elements specific to the Uruguayan reality. Additionally, we produced a model implementation utilizing cutting-edge software such as AMPL and CPLEX. This solution was empirically validated using a battery of 56 test cases, based on actual data gathered from multiple sources.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.