Accurate Classification of Multi-Cultivar Watermelons via GAF-Enhanced Feature Fusion Convolutional Neural Networks

The online rapid classification of multi-cultivar watermelon, including seedless and seeded types, has far-reaching significance for enhancing quality control in the watermelon indus- try. However, interference in one-dimensional spectra affects the high-accuracy classifi- cation of multi-cultivar watermelons with similar appearances. This study proposed an innovative method integrating Gramian Angular Field (GAF), feature fusion, and Squeeze- and-Excitation (SE)-guided convolutional neural...