SITS for estimating sugarcane production

2017 ◽  
Author(s):  
Rachel Scrivani ◽  
Jurandir Zullo ◽  
Luciana Alvim Santos Romani
Keyword(s):  
Sugarcane Production

Climate Efficiency for Sugarcane Production in Brazil and its Application in Agricultural Zoning

Sugar Tech ◽  
2021 ◽  
Author(s):  
Lucas Eduardo de Oliveira Aparecido ◽  
José Reinaldo da Silva Cabral de Moraes ◽  
Kamila Cunha de Meneses ◽  
Guilherme Botega Torsoni ◽  
Cicero Teixeira Silva e Costa ◽  
...  
Keyword(s):  
Sugarcane Production ◽  
Agricultural Zoning

Assessing the sugarcane bagasse and straw as a biofuel to propel light vehicles

2021 ◽  
Author(s):  
Rubens Eliseu Nicula de Castro ◽  
Rita MB Alves ◽  
Cláudio Augusto Oller Nascimento
Keyword(s):  
Sugarcane Bagasse ◽  
Second Generation ◽  
Energy Carriers ◽  
Sugarcane Production ◽  
Second Generation Ethanol

Sugarcane bagasse and straw are the residues from sugarcane production. They can be used to produce electricity, second-generation ethanol, and biogas. These three kinds of fuel are energy carriers that...

scholarly journals Magnetic susceptibility for characterizing areas with different potentials for sugarcane production

2016 ◽  
Vol 51 (9) ◽  
pp. 1349-1358 ◽  
Author(s):  
Diego Silva Siqueira ◽  
José Marques Júnior ◽  
Daniel De Bortoli Teixeira ◽  
Sammy Sidney Rocha Matias ◽  
Livia Arantes Camargo ◽  
...  
Keyword(s):  
Magnetic Susceptibility ◽  
Spatial Variability ◽  
Exchange Capacity ◽  
Strongly Correlated ◽  
Soil Attributes ◽  
Sugarcane Production ◽  
Sugarcane Yield ◽  
Chemical Attributes ◽  
Physical And Chemical ◽  
Variability Model

Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial variability map for magnetic susceptibility was strongly correlated with clay (0.83 and 0.89, respectively, for the layers) and sand contents (-0.84 and -0.88); moderately correlated with organic matter (-0.25 and -0.35), sum of bases (-0.46 and 0.37), cation exchange capacity (0.22 and 0.47), pH (-0.52 and 0.13), and POL (0.43 and 0.53); and weakly correlated with sugarcane yield (0.26 and 0.23). Magnetic susceptibility can be used to characterize the spatial variability of soil attributes and to identify areas with different potentials for sugarcane production.

scholarly journals Sugarcane Production in China

2018 ◽  
Author(s):  
Muqing Zhang ◽  
Muralidharan Govindaraju
Keyword(s):  
Sugarcane Production

scholarly journals Institutional arrangements of outgrower sugarcane production in Southern Africa

2018 ◽  
Vol 36 (2) ◽  
pp. 175-197 ◽  
Author(s):  
Graham Paul von Maltitz ◽  
Giles Henley ◽  
Mike Ogg ◽  
Paul C. Samboko ◽  
Alexandros Gasparatos ◽  
...  
Keyword(s):  
Southern Africa ◽  
Institutional Arrangements ◽  
Sugarcane Production

scholarly journals Crop residues on short-term CO2 emissions in sugarcane production areas

2013 ◽  
Vol 33 (4) ◽  
pp. 699-708 ◽  
Author(s):  
Mariana M. Corradi ◽  
Alan R. Panosso ◽  
Marcílio V. Martins Filho ◽  
Newton La Scala Junior
Keyword(s):  
Co2 Emissions ◽  
Field Experiments ◽  
Crop Residues ◽  
Soil Surface ◽  
Dry Mass ◽  
Agricultural Crop ◽  
Short Term ◽  
Sugarcane Production ◽  
Soil Temperatures ◽  
Production Areas

The proper management of agricultural crop residues could produce benefits in a warmer, more drought-prone world. Field experiments were conducted in sugarcane production areas in the Southern Brazil to assess the influence of crop residues on the soil surface in short-term CO2 emissions. The study was carried out over a period of 50 days after establishing 6 plots with and without crop residues applied to the soil surface. The effects of sugarcane residues on CO2 emissions were immediate; the emissions from residue-covered plots with equivalent densities of 3 (D50) and 6 (D100) t ha-1 (dry mass) were less than those from non-covered plots (D0). Additionally, the covered fields had lower soil temperatures and higher soil moisture for most of the studied days, especially during the periods of drought. Total emissions were as high as 553.62 ± 47.20 g CO2 m-2, and as low as 384.69 ± 31.69 g CO2 m-2 in non-covered (D0) and covered plot with an equivalent density of 3 t ha-1 (D50), respectively. Our results indicate a significant reduction in CO2 emissions, indicating conservation of soil carbon over the short-term period following the application of sugarcane residues to the soil surface.

scholarly journals Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

2019 ◽  
Vol 10 (5) ◽  
pp. 53
Author(s):  
Jean Marc Nacife ◽  
Frederico A. Loureiro Soares ◽  
Marconi Batista Teixeira ◽  
Leonardo Nazário S. dos Santos ◽  
Gustavo Castoldi
Keyword(s):  
Structural Equation Modeling ◽  
Production System ◽  
Structural Equation ◽  
Statistical Significance ◽  
Methodological Approach ◽  
Production Costs ◽  
Equation Modeling ◽  
Structural Quality ◽  
Sugarcane Production ◽  
Path Diagram

Agribusiness has played a strategic role for Brazil's development with the challenge of sustainable agriculture. It is proposed to determine, through Structural Equation Modeling (SEM), the validity and effects of the relationships between socioeconomic factors of the sugarcane production system in Quirinópolis, providing subsidies to the decision-making process of agricultural establishments. The research methodological approach was quantitative, applying techniques of normality statistics, hypothesis and multivariate analysis without statistical significance (P <0,05). A path diagram model was developed that presented structural quality adjustment and its validated explanatory equations, obtaining relevant R2. The results demonstrate that the Equation 1 (IBCcane = 0.02Rcane - 0.75ICcane – 0.46ISVO + 0.35ISPS + error) is explained in 73.7% of its variance (R2), in the Equation 2 (ICcane = 0.59ISVO – 0.45ISPS + 0.35SizeEstablis + error) successor vocation affects 42% on production costs and in the Equation 3 (Rcane = -0.40 AgroDistance – 0.16ISPS + error) the distance between farm and agribusiness influences 72% on the proposed revenue mix. The SEM analysis verified that social factors influence the economic factors that compose the sugarcane production system studied. The path diagram proved that the influence track relative to the costs in the proposed model is more representative than revenue for the economic results of rural sugarcane establishments. 

scholarly journals Operations Scheduling of Sugarcane Production Using Classical GERT Method (Part I: Land Preparation, Planting and Preserve Operations)

2015 ◽  
Vol 3 (2) ◽  
pp. 71
Author(s):  
Nasim Monjezi ◽  
Mohammad Javad Sheikhdavoodi ◽  
Hasan Zakidizaji ◽  
Afshin Marzban ◽  
Mahmood Shomeili
Keyword(s):  
Environmental Conservation ◽  
Agricultural Systems ◽  
Sugarcane Production ◽  
Khuzestan Province ◽  
Land Preparation ◽  
Analysis And Evaluation ◽  
Project Completion ◽  
Operations Scheduling ◽  
Gert Networks

Analysis and evaluation of agricultural systems use these criteria: energy, economic, agronomy, environmental conservation and time. Because of time importance indicator for reducing timeliness cost, project scheduling techniques are used. Graphical Evaluation and Review Technique (GERT) is widely used as a tool for managing projects. In this research GERT Networks were used and operations scheduling of sugarcane production (land preparation, planting and preserve operations) in Khuzestan province of Iran as a case study was analysed, by using WinQsb software. Critical activities, events and path were determined. The earliest project completion time is 214.03 days. The results show a high potential for operations scheduling of sugarcane production.

Comparative Analysis of Electricity Cogeneration Scenarios in Sugarcane Production by LCA

2015 ◽  
pp. 233-260
Author(s):  
João Guerra ◽  
José Coleta ◽  
Luiza Arruda ◽  
Gil Silva ◽  
Luiz Kulay
Keyword(s):  
Comparative Analysis ◽  
Sugarcane Production
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