A decision-making support system to select forages according to environmental conditions in Colombia
Low food supply is a major problem affecting a large percentage of the livestock population in Colombia and is largely associated to inappropriate choice of forage species; and thus not well adapted to the environmental conditions of a specific region. To mitigate this problem, without incurring increasingcosts associated to changing environmental conditions,it is possible to match the adaptive capacity of species to the environment in which they grow. A decisionsupport system was developed to select suitable foragespecies for a given environment. The system is based onthe use of existing information about requirements of the species rather than specific experimentation. Fromthe information gathered, a database was generatedand implemented on ASP.NET in C # and SQL Serverdatabase. This system allows users to search and select pastures and forage species for specific soil and climatic conditions of a particular farm or region, through a user-friendly web platform.
| Main Authors: | , , |
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| Format: | info:eu-repo/semantics/article biblioteca |
| Language: | spa |
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Corporación Colombiana de Investigación Agropecuaria (Agrosavia)
2013
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| Online Access: | http://revistacta.agrosavia.co/index.php/revista/article/view/483 http://hdl.handle.net/20.500.12324/35207 |
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| Summary: | Low food supply is a major problem affecting a large percentage of the livestock population in Colombia and is largely associated to inappropriate choice of forage species; and thus not well adapted to the environmental conditions of a specific region. To mitigate this problem, without incurring increasingcosts associated to changing environmental conditions,it is possible to match the adaptive capacity of species to the environment in which they grow. A decisionsupport system was developed to select suitable foragespecies for a given environment. The system is based onthe use of existing information about requirements of the species rather than specific experimentation. Fromthe information gathered, a database was generatedand implemented on ASP.NET in C # and SQL Serverdatabase. This system allows users to search and select pastures and forage species for specific soil and climatic conditions of a particular farm or region, through a user-friendly web platform. |
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