Decision Tree Data Mining in Object Oriented Classification for Sugar Cane Harvest Types
نویسندگان
چکیده
The increasing worldwide concern regarding environmental issues, in particular after the consistent reports published by the Intergovernmental Panel on Climate Change – IPCC, has significantly stimulated the production of biofuels. Among these biofuels, the ethanol produced from sugar cane is considered to be of particular importance. Currently, Brazil is the world's largest producer of sugar cane with approximately 8.7 million ha of cultivated area [1]. Traditionally, in Brazil, great part of the harvest of sugar cane is performed after the burning of leaves and straw, which can causes severe environmental problems, such as CO2 emissions, soil degradation [2] and health problems within the population surrounding the croplands.
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