IoT Based Soil Nutrients Monitoring Decision System

Conventional methods for monitoring soil nutrients are often labor-intensive and inefficient, relying on manual sampling and laboratory analysis, which delays necessary interventions and results in resource inefficiencies in agriculture. This study introduces an IoT-driven system for real-time soil nutrient monitoring and analysis, addressing these limitations. The system employs advanced sensors to measure essential soil parameters such as nitrogen, phosphorus, potassium (NPK), moisture, and pH levels. Sensor data is transmitted wirelessly to a cloud-based platform for continuous processing and analysis, offering immediate insights into soil conditions. The novelty of this approach lies in the integration of IoT technology, cloud computing, and data analytics to enable accurate and timely decisions for effective soil management. Unlike traditional or existing systems that lack real-time functionality or require substantial investments, this solution is cost-effective, scalable, and efficient. By delivering actionable insights, the system helps optimize fertilizer usage, improve crop productivity, and promote sustainable agricultural practices, ultimately contributing to enhanced resource management and increased yields.  General Terms Conventional methods, soil nutrient monitoring, manual sampling, laboratory analysis, resource inefficiencies, IoT- driven system, real-time monitoring, soil parameters, sensor data, cloud- based platform, data processing and analysis, decision-making, effective soil management, traditional systems, cost-effective solutions, scalable systems, sustainable agricultural practices.