Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices

ArXi:2601.02353v3 Announce Type: replace-cross Farmers in remote areas need quick and reliable methods for identifying plant diseases, yet they often lack access to laboratories or high-performance computing resources. Deep learning models can detect diseases from leaf images with high accuracy, but these models are typically too large and computationally expensive to run on low-cost edge devices such as Raspberry Pi. Furthermore, collecting thousands of labeled disease images for