Sugar Tech
Springer · India
Aims & Scope✦ Inferred from recent articles
This journal focuses on the application of advanced analytical techniques and artificial intelligence for optimizing processes and predicting yields in the sugar industry, including sugarcane and sugar beet cultivation and processing. Research covers areas such as nutrient recovery from biomass ash, quality management in sugar mills, bioethanol production from sugarcane bagasse, and the use of near-infrared spectroscopy for sugar analysis. Additionally, it explores the prediction of sugar production from nipa palm and the use of machine learning for sugarcane yield forecasting in specific agricultural regions.
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