The Problem
Traditional agriculture relies heavily on manual soil sampling and generalized watering schedules, leading to significant water waste and suboptimal crop yields. Farms lack real-time visibility into micro-climate conditions at the root level.
The objective was to engineer a distributed sensor network capable of surviving harsh outdoor conditions while transmitting telemetry data over low-bandwidth networks to a centralized analytical dashboard.
System Architecture
[ ARCHITECTURE DIAGRAM ]
Hardware Layer
Custom ESP32-based sensor nodes equipped with capacitive soil moisture, temperature, and humidity sensors. Nodes operate on solar-backed battery systems, utilizing deep-sleep cycles to maximize lifespan.
Middleware Layer
An MQTT broker facilitates lightweight telemetry ingestion. A Node.js microservice parses the payload, validates the data integrity, and writes the time-series data to a scalable database.
Application Layer
A React-based web interface provides farmers with real-time visualization, historical trend analysis, and automated alert configuration when moisture levels drop below critical thresholds.
The Outcome
- Reduced water consumption by approximately 30% through precision targeting.
- Achieved 99.9% uptime on hardware nodes using optimized power management profiles.
- Delivered actionable insights within < 500ms latency from field to screen.