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Mechanized sugarcane green harvesting has been increasingly adopted in Brazil, rising straw availability at the field. Computer-aided tools are used to predict the optimum conditions for straw recovery systems. This study aims at developing a model-based method for optimization of sugarcane straw recovery costs and internal rate of return (IRR), as a function of sugarcane productivity, straw recovery...
Mechanisation of sugarcane harvesting is growing rapidly in Southern Brazil where nearly 80% of Brazil's crop is cultivated. Currently a maximum of 20% of the cane is mechanically harvested and the proportion is expected to rise to about 50% by 2005. However, most of the cane is burned prior to harvesting and less than 2% is harvested green. Issues such as topography, crop cultivation and management...
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