Intermediate Projects and InternshipWireless IoT

Smart Agriculture and IoT Automation

Build IoT systems for farms and greenhouses: soil moisture, weather and water monitoring, irrigation control and low-power remote nodes.

Level
Intermediate
Duration
Confirmed at enquiry
Mode
Online across India; confirm batch
Fee
Enquire for current fee

About this course

Agricultural IoT focuses on measuring conditions such as soil moisture, temperature, humidity and water level and acting on them: starting pumps, raising alerts or logging data for later decisions. The environment is demanding: sunlight, moisture, dust, limited power and patchy connectivity.

The course teaches sensing and control techniques suited to those conditions, including calibration of soil sensors, power budgeting for solar nodes and communication choices for remote locations. Projects emphasise reliability and clear, honest interpretation of sensor data.

Who is this course for?

  • Engineering and agriculture-technology students
  • Project students working on sustainability and rural-technology themes
  • Entrepreneurs prototyping agri-monitoring ideas
  • Learners who completed ESP32 basics

Eligibility

For learners with basic microcontroller knowledge. Exact eligibility is confirmed at enrollment.

Prerequisites recommended

Basic ESP32 or Arduino skills and simple sensor-reading experience.

Syllabus: 6 modules

1Agri-IoT use cases
  • Irrigation scheduling, greenhouse climate, cold storage, livestock
  • What to measure and what decisions the data supports
  • Realistic expectations for accuracy
2Sensing in the field
  • Soil moisture sensors: resistive versus capacitive
  • Temperature, humidity, rain and light sensing
  • Calibration and placement
3Actuation
  • Pump and valve control with relays or MOSFET drivers
  • Threshold control with hysteresis
  • Manual override and fail-safe states
4Power and enclosure
  • Duty cycling and deep sleep
  • Solar and battery basics
  • Weather-resistant enclosures and wiring
5Connectivity in remote locations
  • Wi-Fi range limitations
  • LoRaWAN and cellular options (concepts)
  • Store-and-forward strategies
6Dashboard and project
  • Logging and visualising field data
  • Alerts for dry soil and tank level
  • Build and document an irrigation monitor

Tools and technologies covered

  • ESP32
  • Capacitive soil moisture sensor
  • DHT22 / SHT31
  • Relay and pump driver
  • MQTT
  • Solar and battery basics

Practical exercises and project examples

  • Soil-moisture monitor with automatic irrigation logic
  • Greenhouse temperature and humidity logger
  • Water-tank level monitor with alerts
  • Solar-powered low-power sensor node (prototype)

These are example exercises and project concepts for this course, not a record of projects completed by past learners.

Outcomes, career directions and limits

Skills you should be able to demonstrate

  • Select and calibrate soil and climate sensors for a given crop scenario
  • Build threshold-based irrigation control with safe overrides
  • Estimate power use and design a duty-cycled node
  • Explain the limits of low-cost sensor accuracy

Relevant career directions

  • Agri-tech prototyping and field-trial support after further practice
  • Rural-technology project roles
  • Foundation for sustainability-focused IoT projects

What this course does not do

  • Agronomic decisions depend on crop, soil and local expertise; this course teaches measurement and control, not agronomy.
  • Prototype sensors are not a substitute for professional-grade agricultural instruments.

Career outcomes depend on your skills, portfolio, experience and employer requirements. No course can guarantee a job.

Delivery, batches and fees

Delivery and batch

Online training is available across India. Offline training is offered only at confirmed locations. Batch timings are confirmed by the training team.

Course fee

Enquire for Current Course Fee

Special fee benefits may be available on selected courses. Contact us to confirm the current fee, what it includes and any offer conditions.

Check Your Special Course Fee

Smart Agriculture and IoT Automation: frequently asked questions

Is farm experience required?

No. The course explains the measurements and decisions that matter, and projects can be simulated on a small scale.

Will I use LoRaWAN?

LoRaWAN is explained conceptually as an option for remote areas. Hands-on work centres on ESP32 and Wi-Fi unless the training team confirms LoRa hardware availability.

Can this be my final-year project?

Yes. Smart-agriculture themes are common; the Final-Year Project Training course helps with scoping, documentation and demonstration.

Intermediate

IoT Final-Year Project Training and Internship

Guided IoT project development for final-year and pre-final-year students: topic selection, design, build, testing, report writing and demonstration.

Projects and Internship

  • Covers: Arduino / ESP32 / Raspberry Pi (project-dependent), MQTT and dashboards, Sensors and actuators, Git and documentation tools

Learners across India take this course online

City guides explain how online delivery works for learners in each city and which project themes fit.

Browse all city guides

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