An accuracy—efficiency trade-off study of lightweight CNNs for plant leaf disease classification
Plant leaf disease classification is important for early diagnosis and crop management, but deploying Convolutional Neural Network (CNN) models in resource-constrained settings remains limited by memory and latency constraints. This paper presents Latency-CNN, a lightweight architecture that combines early spatial down...