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Assessing traits in bread using image analysis and machine learning
DOI:10.1016/j.foodres.2026.119131.png)
摘要
En 中文
• 从面包图像预测食品质量的智能系统。• 24项品质特征中有21项具有良好可靠性(R¿0.5)。• 预测速度足够快,可在食品工业中实时运行。
Keyword:
bread quality
image analysis
machine learning
food industry
real-time prediction
期刊
IF:
8
论文数:
1.8W
被引数:
7.9W
机构
引用论文
Analysis of food safety based on machine learning: A comprehensive review and future prospects基于机器学习的食品安全分析:综合评述与未来展望
An advance in novel intelligent sensory technologies: From an implicit-tracking perspective of food perception新型智能感官技术的进展: 从食物感知的内隐跟踪角度
Influence of normalization and color space to color texture classification归一化和颜色空间对颜色纹理分类的影响
PATTERN RECOGNITION
IF7.6

