SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms

arXiv:2402.10280v1 Announce Type: new
Abstract: We propose a novel energy-aware federated learning (FL)-based system, namely SusFL, for sustainable smart farming to address the challenge of inconsistent health monitoring due to fluctuating energy levels of solar sensors. This system equips animals, such as cattle, with solar sensors with computational capabilities, including Raspberry Pis, to train a local deep-learning model on health data. These sensors periodically update Long Range (LoRa) gateways, forming a wireless sensor network (WSN) to detect diseases like mastitis. …

abstract animals arxiv capabilities challenge computational cs.lg energy farming farms federated learning health monitoring novel raspberry sensors smart solar sustainable type