Smart Irrigation System
Soil moisture sensing that switches a pump automatically and reports field conditions to a phone dashboard.
- Suitable for
- Higher Secondary
- Technology
- ESP32
Intermediate6–8 days
IoT · Environmental Monitoring
IoT Weather Monitoring System
A station that measures temperature, humidity, pressure, light and rain, and publishes readings to a live dashboard.
- Difficulty
- Intermediate
- Typical time
- 5–7 days
- Suitable for
- Higher Secondary
Price
Contact for price
Cost depends on components, complexity and which deliverables you need, so we quote after understanding your requirement.
Technologies
- ESP32
- BME280 environmental sensing
- Wi-Fi telemetry
- Cloud dashboard
Project overview
Five environmental parameters are sampled at a fixed interval and pushed to a hosted dashboard, giving you graphs over hours or days rather than a single instantaneous reading. Temperature, humidity and pressure come from calibrated digital sensors, so the values can be sanity-checked against a published forecast — a quick credibility test examiners like.
The sampling interval is a deliberate design decision, not a default. Weather changes slowly, so sampling every thirty seconds gives useful resolution without generating data nobody will look at. Being able to explain that trade-off is worth more than adding a sixth sensor.
Readings are buffered in memory when the network is unavailable and uploaded when it returns, so a dropout during the demonstration leaves a gap in transmission but not in the data.
Features
- Five measured parameters with calibrated digital sensors
- Live graphs on a hosted dashboard
- Local OLED readout that works without a network
- Readings buffered and re-sent after a connection drop
- Configurable sampling interval with the reasoning documented
How it works
- 1The ESP32 wakes on its sampling timer and reads every sensor in turn.
- 2Readings are validated against plausible ranges so a disconnected sensor does not publish a false value.
- 3The set is shown on the OLED and queued for upload.
- 4If Wi-Fi is available the queue is published to the dashboard; otherwise it is held in memory.
- 5On reconnection the buffered readings are uploaded before the next live sample.
Components used
- ESP32 development board
- BME280 temperature, humidity and pressure sensor
- LDR light sensor
- Rain detection sensor
- 0.96" OLED display
- Weather-shielded enclosure
Questions about this project
How accurate are the readings?
The BME280 is a calibrated digital sensor and its published tolerances are in the datasheet — quote those in your report rather than claiming a figure. Comparing against a local forecast is a good cross-check to include.
Can it be left outdoors?
The enclosure is shielded for short-term outdoor use during testing. For permanent installation it would need proper weatherproofing and a stable power source.
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Need the IoT Weather Monitoring System in Surat?
Send your class or course and your submission date and we'll confirm what's achievable, what it includes and what it costs — before you commit.