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Modeling within-season sugarcane growth for optimal harvest system selection
Affiliation:1. Institute of Nuclear and New Energy Technology, Beijing Key Lab of Fine Ceramics, Tsinghua University, Beijing 100084, PR China;2. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, PR China;3. Huadong Institute of Lithium Ion Battery, Zhangjiagang, Jiangsu 215600, PR China;1. Faculty of Applied Chemistry and Materials Science, University Politehnica of Bucharest, Polizu 1, 011061 Bucharest, Romania;2. National Institute for Research & Development in Environmental Protection, 294 Splaiul Independenţei, 060031 Bucharest, Romania;1. University of São Paulo, “Luiz de Queiroz” College of Agriculture, 11 Pádua Dias Avenue, Piracicaba, SP 13418-900 Brazil;2. University of São Paulo, Center for Nuclear Energy in Agriculture, 303 Centenário Avenue, Piracicaba, SP 13400-970 Brazil
Abstract:The recent switch from wholestalk to combine sugarcane harvesters has raised questions concerning which harvester is more profitable. Combine harvesters recovery more of the sugarcane in the field than wholestalk harvesters, but also have higher trash levels reducing sucrose recovery. The objective of the research presented in this article is to determine the optimal sugarcane harvest system selection for sugarcane production in Louisiana. Sugarcane stalk weight and sugar per stalk equations are estimated in order to predict tonnage and sugar yields throughout the harvest season. These predicted yields are then adjusted to reflect field tonnage and sugar recovery for the combine and wholestalk harvesting systems. A mixed integer mathematical programming model is then used to determine the optimal harvest system under alternative sugarcane variety combinations, wholestalk harvester field recovery rates, and combine harvester sugar recovery rates. Results identify field recovery and sucrose recovery conditions for which one type of harvest system would be preferred over the other.
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