Published Paper Details:

The proposed work designed a real-time smart fertilizer recommendation system for soil conditions using the Internet of Things (IoT). The proposed system is divided into two modules. The IoT module of the proposed system continuously monitors soil characteristics such as temperature, moisture, and nutrient levels using NPK sensor. The artificial intelligence (AI) module containing artificial neural networks (ANN) analyses the soil characteristics received through NPK and suggests suitable fertilizers. The ANN model achieves a train accuracy of 95%. The proposed system aims to reduce soil degradation, pollution, and economic losses for farmers while increasing crop yield. The system uses affordable IoT hardware with a mobile application for user interface. The AI module is integrated into mobile applications using TensorFlow Lite (TFLite). The proposed system promotes AI-driven smart agriculture solutions and improves sustainability. In the future, the system can be implemented for various crop types.