Experimental analysis of soil quality using internet of LoRaWAN and predicting the soil nutrient using federated learning for next generation sustainable agriculture

Key Points

• This research aims to analyze soil quality and predict nutrient levels using innovative technology for sustainable agriculture.
• Utilized LoRaWAN technology for soil quality measurement
• Implemented federated learning algorithms to predict soil nutrients
• Conducted experimental analyses to validate predictions
• Identified key soil quality metrics critical for agriculture
• Achieved accurate predictions of nutrient levels using federated learning
• Demonstrated the feasibility of using IoT for sustainable farming practices