./systems › IoT Farm Monitoring Platform
◈ Industrial / IoT

IoT Farm Monitoring Platform

Domain
Industrial & IoT
Stack
8 Technologies
Status
In Progress

01 / The Problem

Multi-site agricultural operations lack unified real-time visibility into field conditions. Irrigation scheduling is reactive, not predictive. Soil moisture, temperature, and ambient conditions vary widely across zones but are monitored at best daily.

02 / The Solution

A distributed sensor network with solar-powered field nodes reporting via MQTT to a central ingestion service. Time-series data is stored in InfluxDB, visualised in Grafana dashboards, and feeds an anomaly detection model that alerts operators to out-of-range conditions before they cause crop damage.

04 / Architecture

Field Sensor Nodes (solar + LoRa) ↓ LoRa Gateway → MQTT Broker ↓ Ingestion Service (Python) ↓ InfluxDB (time-series store) ↓ ┌─────────────┬──────────────────┐ │ Grafana │ Anomaly Engine │ │ Dashboard │ (ML alerting) │ └─────────────┴──────────────────┘ ↓ SMS / Email Alert System

05 / Results

Deployed across 4 sites, 38 sensor nodes. Reduced irrigation water usage by 22% through data-driven scheduling. Anomaly detection identified a pump failure 6 hours before it would have caused crop loss.

03 / Tech Stack
IoT LoRa MQTT InfluxDB Grafana Python Scikit-learn Raspberry Pi
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