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Application of Artificial Neural Networks for Predicting the Yield and GHG Emissions of Sugarcane Production
2018
Journal of Agricultural Machinery
Introduction One of the most important sources of the sugar production is sugarcane.Sugar is one of the eight human food sources (wheat, rice, corn, sugar, cattle, sorghum, millet and cassava). Also sugarcane is mainly used for livestock feed, electricity generation, fiber and fertilizer and in many countries sugarcane is a renewable source for the biofuel. The efficient use of inputs in agriculture lead to the sustainable production and help to reduce the fossil fuel consumption and greenhouse
doi:10.22067/jam.v8i2.52870
doaj:c0ce5b1191904131815b1a839f887e31
fatcat:3jwi7ixtyjd2pg2pctmbnwsxnm