Factory Processing Papers
A machine-learning approach for estimating mineral trash in sugarcane processing through turbidity measurements- A model for estimating color increase in refined sugar during storage
- A remote monitoring and advisory system
- Addressing impurity impacts on sugar production: a comprehensive approach to improve sucrose recovery
- An improved process in cane sugar production with a softening ion-exchange step for major gains
- Analytics model for predicting sucrose content in sugarcane using machine-learning techniques
- Application of antimicrobial agents at minimum inhibitory concentration values for optimal control of microbial isolates from Louisiana sugarcane factories
- Applications of machine learning to estimate economic impacts of starch and dextran on sugar manufacturing
- Assessing the carbon footprint of industrial equipment: a case study in cane sugar processing
- CeniCristal: a tool to enhance sucrose recovery through reliable monitoring of crystal size and growth