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Cloud-enabled IoT agriculture monitoring system

Why Choose This Project?

Agriculture is moving towards precision farming, and IoT combined with cloud computing allows farmers to monitor crops, soil, water, and weather conditions in real time. This project leverages IoT sensors to collect environmental data and uses the cloud for storage, analytics, and decision-making. It’s a scalable, low-cost, and practical solution that can help optimize crop yield and reduce resource wastage.

What You Get

  • A complete IoT-to-cloud pipeline.

  • Real-time monitoring dashboard.

  • Alerts and notifications for farmers.

  • Automated decision-making using cloud services.

Key Features

Feature Description
 Sensor Data Collection IoT devices (soil moisture, temperature, humidity, pH) collect farm data.
Cloud Data Storage Sensor data sent to cloud (AWS IoT Core, Azure IoT Hub, or GCP IoT Core).
Real-time Dashboard Farmers view conditions via a cloud-hosted web/mobile app.
 Alerts & Notifications SMS/Email/Push notifications if thresholds (e.g., soil dryness) are exceeded.
Smart Recommendations AI/ML models suggest irrigation, fertilizer, or crop protection measures.
Remote Access Monitor and control farm from anywhere with cloud connectivity.
Device Control Remotely turn irrigation pumps/fans ON/OFF using IoT + cloud integration.

Technology Stack

IoT Layer

  • Sensors: Soil moisture, pH sensor, DHT11/DHT22 (temperature & humidity), light sensor.

  • Microcontrollers: Raspberry Pi / Arduino ESP32.

  • Protocols: MQTT, HTTP.

Cloud Layer

  • AWS: IoT Core, DynamoDB, Lambda, SNS, CloudWatch.

  • Azure: IoT Hub, Cosmos DB, Stream Analytics, Logic Apps.

  • GCP: IoT Core, Pub/Sub, BigQuery, Dataflow.

Application Layer

  • Web App (React/Angular + Bootstrap).

  • Mobile App (Flutter/React Native).

  • Backend APIs (Spring Boot / Node.js).

Working Flow

  1. IoT Devices Capture Data → Soil moisture, temperature, pH, etc.

  2. Data Transmission → Sent via MQTT/HTTP to cloud IoT Hub/Core.

  3. Data Storage → Stored in NoSQL cloud database (DynamoDB, CosmosDB, Firestore).

  4. Real-time Analytics → Processed using Lambda/Functions/Stream Analytics.

  5. Visualization → Farmer views trends in a dashboard (charts, graphs).

  6. Alerts & Automation → Notifications sent if critical thresholds are met.

  7. Remote Control → Farmer controls irrigation/fans via cloud commands to IoT devices.

Main Modules

  1. IoT Sensor Module – Data collection and transmission.

  2. Cloud Ingestion Module – Securely connects IoT data with cloud.

  3. Analytics & Alerting Module – Detects anomalies, triggers alerts.

  4. Visualization Dashboard – Web/mobile UI for farmers.

  5. Control Module – Allows remote operation of pumps/fans.

Security Features

  • Secure MQTT/HTTP communication (TLS/SSL).

  • Device authentication using X.509 certificates.

  • Role-based access for farmers/admins.

  • Encrypted cloud database storage.

Visualization Options

  • Soil moisture trend graphs.

  • Real-time farm conditions (temperature, humidity, pH).

  • Historical crop growth patterns.

  • Predictive irrigation schedules using ML.

This Course Fee:

₹ 2599 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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