Description:The invention presents a distributed smart agriculture monitoring system that combines IoT, swarm intelligence, and cloud computing. The system consists of multiple ESP32-based sensor nodes deployed across a farm, each equipped with soil moisture and temperature-humidity sensors.
Unlike traditional systems, the proposed system enables nodes to communicate with each other using MQTT and perform local data validation. By comparing sensor readings with neighbouring nodes, the system can identify anomalies such as faulty sensors or abnormal environmental conditions. The validated data is transmitted to a cloud-based backend developed using Node.js, where it is stored in a MongoDB database. A React-based dashboard provides real-
time visualization, historical analysis, and anomaly alerts.This approach enhances system reliability, reduces server load, and improves scalability. The system demonstrates how distributed intelligence can be effectively applied in agriculture to support better decision-making and resource management. , C , C , C , C , C , C , C , C , C , Claims:1. A distributed smart agriculture monitoring system using multiple ESP32 nodes
for real-time environmental data collection and validation.
2. A swarm-based anomaly detection mechanism where sensor nodes
collaboratively compare readings to identify faulty data.
3. A communication framework using MQTT protocol for efficient publish–subscribe data exchange between nodes and backend systems.
4. A cloud-based backend system for processing, storing, and visualizing sensor data.
5. A scalable and low-cost IoT architecture suitable for smart agriculture
applications.