AI-Based RGB Imaging and 14-Channel Multispectral Food Quality Scanner
综述RGB与多光谱成像结合AI的食品品质无损检测，并提出一款集成14通道多光谱传感器的紧凑型扫描仪方
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Machine Learning for Ripeness Classification of Nendra Bale Banana: A Classical Approach Using SVM, kNN, and Random Forest
用HOG特征和经典机器学习对Nendra Bale香蕉四个成熟阶段进行图像分类。
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Dual-representation fusion of near-infrared spectra for simultaneous identification of fresh-cocoon sex and imprinted-dead cocoons during pupal metamorphosis
提出双表征加权融合近红外光谱网络，同时识别鲜茧性别与印痕死茧。
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Assessment of mechanical damage in canola using X-ray radiography and deep learning
用X射线成像结合机器学习与深度学习，无损分类油菜籽机械损伤等级。
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Automated seedling vigor estimation in cucumbers using digital image processing
用YOLOv8检测黄瓜真叶并结合多元回归，实现幼苗活力指数无损预测。
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A non-destructive watermelon sweetness classification via vision transformer with cross-modal knowledge distillation
提出用视觉Transformer结合跨模态知识蒸馏，实现西瓜甜度的无损分类。
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A Non-Invasive Approach for Detecting Water Adulteration in Orange Juice Using Computer Vision and Deep Learning
用深度学习计算机视觉检测橙汁掺水，实现非侵入式快速筛查。
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