Researchers from multiple universities presented a study in Nature (2025) that integrates deep learning models like Inception v3 and VGG19 with machine learning techniques such as SVM and kNN for plant disease detection. Using data from various crops, the approach offers faster, more precise diagnosis, enhancing agricultural practices by reducing time and manual labor.