Department of Chemical Engineering, Materials Environment, Sapienza University of Rome, Via Eudossiana, 18-00184, Rome, Italy;
Department of Chemical Engineering, Materials Environment, Sapienza University of Rome, Via Eudossiana, 18-00184, Rome, Italy;
Department of Chemical Engineering, Materials Environment, Sapienza University of Rome, Via Eudossiana, 18-00184, Rome, Italy;
Kiwifruit; hyperspectral imaging; monitoring; quality control;
机译:交叉偏振VNIR高光谱反射成像技术用于香蕉干片的无损质量评估,干燥过程监控
机译:使用高光谱图像对鸡蛋进行无损质量评估
机译:近红外光谱和高光谱成像,用于谷粒的非破坏性质量评估
机译:高光谱成像的猕猴桃的非破坏性质量控制
机译:在JPEG2000下使用具有颜色和质量可伸缩性的离散小波变换对高光谱图像进行分类的性能。
机译:基于变量选择算法和化学计量学模型的奇异果内部质量高光谱成像预测
机译:基于可变选择算法和化学计量模型来预测Kiwifruits内部质量的高光谱成像