Mary Navyatha Govindu

Privacy-Preserving Crop Disease Prediction using Federated Meta-Learning and Climate Intelligence

The growing diversity of climate conditions and the scale effects of agricultural data pose serious problems for the accuracy and scalability of crop disease prediction. The drawbacks of traditional centralized machine learning methods include limitations caused by data privacy, low generalization, and high communicati...