Application of real-time image processing for monitoring bacterial cellulose growth in various nitrogen sources using soybean-boiled wastewater medium during fermentation

Abstract One of the utilizations liquid waste soybean boiling was a combination medium bacterial cellulose (BC) fermentation. Recent study found implementation image processing approach on observation BC growth. This work utilized with soybean-boiled wastewater using ammonium sulphate and yeast extract as nitrogen source. aimed to find out highest correlation between variables that affect fermentation process examine kinetic model thickness during stage Real-Time Image Processing (RTIP) variation sources. The outcome demonstrates time variable both mediums. Gompertz equation followed in growth showed first earlier than Further studies are also needed understand ability detect potential failures