Federated Learning for Soil Moisture Prediction: Benchmarking Lightweight CNNs and Robustness in Distributed Agricultural IoT Networks

Today's article comes from the journal of Machine Learning and Knowledge Extraction. The authors are Zakzouk et al., from Nile University, in Egypt. In this paper they are trying to predict soil moisture from data that is spread across many independent sensors of many different types.

DOI: 10.3390/make7040132