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Deep Neural Networks for Image-Based Dietary Assessment

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Published on: March 13, 2021

The Study of an Adaptive Bread Maker Using Machine Learning.

Jooho Lee¹, Youngjin Kim¹, Sangoh Kim¹

¹Department of Plant and Food Engineering, Sangmyung University, Cheonan 31066, Republic of Korea.

Foods (Basel, Switzerland)

|November 25, 2023

Summary

This summary is machine-generated.

Artificial intelligence in baking optimizes bread quality. A new Baking Process Prediction Model (BPPM) uses machine learning and sensor data to predict baking stages, resulting in larger bread volumes compared to traditional methods.

Keywords:

artificial intelligence baking process prediction bread maker computer vision machine learning

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Area of Science:

Food Science and Technology
Artificial Intelligence
Machine Learning

Background:

Bread is a globally consumed staple food.
Modern food processing requires advanced technologies for quality control and optimization.
Artificial intelligence (AI) offers solutions for real-time monitoring and process improvement in food production.

Purpose of the Study:

To develop and evaluate an AI-driven system for monitoring and analyzing the bread baking process.
To predict baking stages autonomously using sensor and vision data.
To enhance bread quality and production efficiency through intelligent process control.

Main Methods:

Implementation of an integrated solution combining sensor data and machine learning technology.
Development of a data-based machine learning model: the Baking Process Prediction Model (BPPM).
Real-time monitoring and analysis of environmental variables and influences during baking using BPPM.

Main Results:

The BPPM demonstrated excellent performance in monitoring and analyzing real-time baking data.
The model autonomously predicted baking stages, improving bread quality.
Bread volumes produced using BPPM were significantly larger (p < 0.05) than those made with fixed baking times.

Conclusions:

The developed AI system shows great potential for enhancing precision and efficiency in the food production industry.
This approach lays a foundation for future advancements in AI applications within the food sector.
The BPPM successfully improved bread quality and production outcomes.