The focus of this webinar is on two main topics:
1. Applying AI Tools for Modeling, Predicting, Monitoring and Managing the Alcoholic Fermentation Process
Innovative Monitoring System for Beer Fermentation
The research project is part of an innovative vision to develop an advanced system for monitoring and analyzing the beer wort fermentation process using digital image processing technologies and artificial intelligence, implemented in MATLAB 2024. The project is designed to meet the four specific criteria resilience, digitalization, sustainability (green), and human-centered focus, to optimize the fermentation process. The automatic monitoring system uses anomaly detection and constant analysis of fermentation variables to ensure a stable and robust process. Rapid corrective actions can be implemented to prevent product quality degradation by identifying potential issues early on.
Applying AI Tools for Modeling, Predicting and Managing the White Wine Fermentation Process
This webinar section reveals two of the challenges faced by Romania and proposes a sustainable and simple solution for its wine industry. First, substantial areas with vineyards that may produce qualitative wine, and second, the very low digitalization rate of industrial sectors. More precisely, this work proposes a solution for digitalizing the fermentation process of white wine, allowing it to be adapted for other control techniques (i.e., knowledge-based systems, intelligent control). Our method consists of implementing a pre-trained multi-layer perceptron neural network, using genetic algorithms capable of predicting the concentration of alcohol and the amount of substrate at a certain point in time that starts from the initial configuration of the fermentation process. The purpose of predicting these process features is to obtain information about status variables so that the process can be automatically driven. The main advantage of our application is to help experts reduce the time needed for making the relevant measurements and to increase the lifecycles of sensors in bioreactors.
The software application allows configuring a Neural Network and/or a Genetic Algorithm that can simulate the white wine fermentation and based on your datasets you can observe the “Alcohol Concentration” and “Substrate” evolution in the fermentation process and after training you can test with some different parameters to see the results that can be obtained.
2. Aerial crop monitorization system of agricultural crops