-35%

IoT and ML-Based Smart Soil Health Monitoring System for Precision Agriculture

Original price was: ₹19,900.Current price is: ₹12,999.

This project develops an advanced soil health monitoring system that integrates real-time measurement of soil moisture, temperature, pH, and electrical conductivity (EC). Using a MODBUS-RTU RS485 4-in-1 soil sensor, the system connects to an IoT platform for data collection, remote monitoring, and cloud storage. It is ideal for applications in precision agriculture, horticulture, and soil research.

Machine learning algorithms analyze the collected data to detect anomalies, optimize irrigation, predict crop health, and enhance agricultural efficiency. Alerts are generated for unfavorable soil conditions, enabling proactive decision-making. A mobile app provides real-time monitoring, historical trend analysis, and actionable insights to improve crop yield and resource management.

Key Features:

  • Comprehensive real-time monitoring of soil moisture, temperature, pH, and EC.
  • IoT-enabled remote access and cloud storage for seamless data management.
  • ML-powered predictive analytics for optimizing soil health and crop growth.
  • Mobile app for live updates, trend analysis, and alerts for unfavorable conditions.

This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent solution for students focusing on IoT and ML in smart agriculture technologies.