Researchers are evaluating the use of lightweight deep learning models for various classification tasks, including disease detection in plants and medical images. The models are being tested for their performance in edge computing environments, with applications in areas such as fruit and leaf disease classification, skin cancer detection, and lung cancer diagnosis. The specific focus on tomato disease classification is part of a broader exploration of lightweight deep learning models for different types of image-based classification tasks.