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Influence of Cutting Stages and Sugarcane Varieties on Sucrose Content in a Brazilian Power Plant with Mechanized Harvesting

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Journal of Agricultural Science and Technology(B) 2018年第4期8卷 220-227页

作者： Ricardo Ghantous Cervi Sergio Augusto Rodrigues ernee kozyreff filho Paulo Andre de Oliveira Department of Production Engineering Sao Paulo State University (UNESP) Itapeva Sao Paulo 18409-010 Brazil Department of Bioprocesses and Biotechnology Sao Paulo State University (UNESP) Botucatu Sao Paulo 18610-307 Brazil Department of Agribusiness State Center for Technological Education Paula Souza Botucatu Sao Paulo 18606-855 Brazil

This study, carried out in a sugarcane mill located in the center-west region of Sao Paulo state, Brazil, aimed to evaluate the association of sucrose amount （POL%） with sugarcane varieties and cutting stages using mechanized harvesting. A two-way analysis of variance （ANOVA）, complemented by multiple comparison tests, was used in order to identify the effects of variety types and cutting stages on the sugarcane POL% content. An interaction between the sugarcane variety and the cutting stage was observed; therefore, both two factors cannot be independently evaluated regarding POL%. In addition, it was found that the sucrose amount from the plant production in the evaluated period presented significant differences between the cutting stages only for one variety, namely CTC2, which was different from the others in most of the cutting stages. Considering the observed results, it can be concluded that analyzing sucrose amount statistically in the mill production can allow producers to posteriorly better monitor information on the sugarcane varieties harvested under mechanized processes.

关键词： Mechanized harvesting sugarcane cultivation sugarcane POL%.

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A Comparison between Evolutionary Metaheuristics and Mathematical Optimization to Solve the Wells Placement Problem

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Advances in Chemical Engineering and Science 2013年第4期3卷 30-36页

作者： Ghazi AlQahtani Ahmed Alzahabi ernee kozyreff Ismael R. de Jr. Farias Mohamed Soliman Texas Tech University Lubbock USA Texas Tech University Lubbock USA

The Wells Placement Problem (WPP) consists in choosing well locations within an oil reservoir grid to maximize the reservoir total oil production, subject to distance threshold between wells and number of wells cap constraints. A popular approach to WPP is Genetic Algorithms (GA). Alternatively, WPP has been approached in the literature through Mathematical Optimization. Here, we conduct a computational study of both methods and compare their solutions and performance. Our results indicate that, while GA can provide near-optimal solutions to instances of WPP, typically Mathematical Optimization provides better solutions within less computational time.

关键词： Wells Placement Genetic Algorithm Integer Programming

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Optimization in the Selection of Sugarcane Varieties in a Sucro Energy Plant Located in the State of Sao Paulo,Brazil

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Journal of Agricultural Science and Technology(B) 2020年第1期10卷 10-16页

作者： Ricardo Ghantous Cervi Helenice de Oliveira Florentino Silva Ernée kozyreff filho Gislaine Cristina Batistela Danilo Simoes Department of Production Engineering Sao Paulo State University(UNESP)ItapevaSao Paulo 18409-010Brazil Department of Biostatistics Biosciences InstituteSao Paulo State University(UNESP)BotucatuSao Paulo 18618-689Brazil

Sugarcane crops have undergone several changes with the intensification of agricultural machinery in Brazil in the last *** occurs,mainly,due to the transfer of the semi-mechanized system to the mechanized one during harvest ***,studies are needed on the optimization of sugarcane production in relation to mechanized processes,since it is necessary to verify the adaptability of sugarcane varieties to the mechanization of the *** study aimed to develop and apply a mathematical model of optimization to select sugarcane varieties that maximize production and meet the quality standards required by the industry for sugar and fiber *** data were collected in a sugarcane mill located in the interior of S?o Paulo *** result obtained by the optimization process evinced an increase of 16.65%when compared to the productivity of the initial scenario.

关键词： Integer linear programming mathematical model mechanization operational efficiency sugarcane culture

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