Resnet Incorporating The Fusion Data Of Rgb & Hyperspectral Images Improves Classification Accuracy Of Vegetable Soybean Freshness

This article discusses the use of deep learning-based image recognition technology to analyze the freshness of vegetable soybean. The study proposes a novel classification model, ResNet-R &H, which incorporates the fusion data of RGB and hyperspectral images and achieves a high testing accuracy of 97.6%. This research has significant implications for improving the accuracy and efficiency of food freshness evaluation.