Factory Processing Papers
A machine-learning approach for estimating mineral trash in sugarcane processing through turbidity measurements
Last Updated: junio 19, 2025The efficiency of a sugar mill is significantly impacted by the level of mineral trash entering with the cane. This type of trash adversely affects milling equipment, raises the ash content in bagasse, and diminishes clarification and filtration effectiveness due to higher mud levels, impacting extraction, cogeneration, and sucrose recovery.
A model for estimating color increase in refined sugar during storage
Last Updated: junio 19, 2025The color of all types of sugar, including sugar from sugarcane and beet sugar, tends to increase during storage between production and shipment, and is influenced by sugar characteristics, storage conditions, and duration. This increase can be significant, impacting compliance with product specifications and the quantity of sugar available for sale
A remote monitoring and advisory system
Last Updated: junio 19, 2025The profits of a sugar plant can be improved by reducing the sugar/energy losses, equipment downtime, and optimum performance of machinery. This can be achieved by regular monitoring of performance and utility parameters.
Addressing impurity impacts on sugar production: a comprehensive approach to improve sucrose recovery
Last Updated: julio 6, 2025Over the past 5 years, the Colombian sugarcane industry has faced rising impurity levels in cane supply due to increased mechanical harvesting (from 64 to 75%), fluctuating weather, and varying cultivation practices, resulting in a 2.3% decline in mixed juice purity and a 20% increase in final molasses losses by 2024 compared to 2019.
Analytics model for predicting sucrose content in sugarcane using machine-learning techniques
Last Updated: junio 19, 2025Sucrose is one of the most important indicators of profitability of Colombian sugar mills, hence understanding its drivers and forecasting its levels are fundamental for business. A model that predicts the percentage of sucrose based on historical data from mechanically harvested farms was developed to predict monthly sucrose levels and allow planning of monthly and annual sugar production.
Application of antimicrobial agents at minimum inhibitory concentration values for optimal control of microbial isolates from Louisiana sugarcane factories
Last Updated: junio 17, 2025Gillian O Bruni and Evan Terrell USDA-ARS Southern Regional Research Center, 1100 Allen Toussaint Blvd, New Orleans, LA 70124, United States of...
Application of antimicrobial agents at minimum inhibitory concentration values for optimal control of microbial isolates from Louisiana sugarcane factories
Last Updated: junio 19, 2025Microbial isolates from sugar crop-processing facilities were tested for susceptibility to industrial antimicrobial agents to determine minimum inhibitory concentration (MIC) values for optimal dosing. Hydritreat 2216 (peracetic acid) showed broad spectrum activity against all bacterial isolates as well as Saccharomyces cerevisiae.
Applications of machine learning to estimate economic impacts of starch and dextran on sugar manufacturing
Last Updated: junio 19, 2025Polysaccharide contamination (e.g., starch, dextran) is among the leading causes of decreased sucrose yields from sugarcane processing. Although there is a wide body of literature on management and mitigation strategies, there is little quantification of the associated economic impact of polysaccharides relating to recoverable sucrose losses.
CeniCristal: a tool to enhance sucrose recovery through reliable monitoring of crystal size and growth
Last Updated: julio 6, 2025CeniCristal was developed within the Industry 4.0 framework to accurately monitor crystal growth during pan boiling, utilizing advanced digital image processing and artificial intelligence. Trained and validated with sugar crystal images, the system achieved an error margin of less than 3% compared to the standardized sieving method.
Clarification of sugarcane juice with sodium metabisulphite
Last Updated: julio 6, 2025A method for producing white sugar from sugarcane juice is explored, focusing on reducing the use of sulphur dioxide in the clarification process. Sugar factories in India and many other countries, commonly use the double sulphitation process to produce plantation white sugar for direct consumption. However, challenges such as sulphur price volatility, environmental concerns, reducing sugar formation, and process inefficiencies have prompted the need for alternatives.