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Microalgae-enriched biscuit discrimination using image texture features and Artificial Intelligence (AI) algorithms
DOI:10.1016/j.algal.2026.104627.png)
摘要
En 中文
• 基于AI的图像纹理分析以高精度对富集衣藻的饼干进行了分类。
• 子空间判别模型在饼干分类中达到了97.86%的正确率。
• 富含绿衣藻的饼干被AI模型最准确地分类。
• 含2.5%和5%黄衣藻的饼干显示出最高的分类重叠。
Keyword:
AI-based image texture analysis
subspace discriminant model
Chlorella-enriched biscuits
biscuit classification
image texture features
期刊
A
IF:
1.6
论文数:
600
被引数:
2
机构
引用论文
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Benchmarking Machine Learning Approaches to Evaluate the Cultivar Differentiation of Plum (Prunus domestica L.) Kernels
AGRICULTURE-BASEL
IF3.6

