Project Title : IoT-Based Smart Farming with Drones

Objective:

To develop an intelligent farming system that uses IoT sensors and drones to monitor crop health, soil conditions, and optimize agricultural processes.

Project Summary:

This project integrates IoT technology with drones to revolutionize modern agriculture. Drones are used for aerial surveillance and data collection, while ground-based IoT sensors track soil moisture, temperature, humidity, and other environmental factors. The collected data is transmitted to a cloud server, where it is processed and displayed on a web or mobile dashboard. This helps farmers make informed decisions about irrigation, pest control, and crop management.

Key Components:

Hardware: IoT sensors (for soil moisture, temperature, humidity), drones with cameras, microcontroller (e.g., Arduino/ESP32), GSM/Wi-Fi module

Software: Cloud services (like ThingSpeak, Firebase), data analytics dashboard, image processing algorithms for drone footage

Technologies: IoT, Cloud Computing, Image Processing, Wireless Communication

Features:

Aerial crop monitoring using drones

Real-time soil and weather condition monitoring

Automated irrigation recommendations

Pest and disease detection using drone camera images

Web/mobile dashboard with live analytics

Applications:

Precision farming

Greenhouse monitoring

Pest/disease management

Sustainable agriculture practices

 Outcome:

The system increases crop yield, reduces manual labor, and promotes efficient use of resources. It introduces students to smart agriculture, combining IoT, drones, and data analytics to solve real-world farming problems.