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Cotton Crop Monitoring and Disease Detection using LoRaWAN and Drone

The Main objectives of this research are,

·       Develop a robust system combining LoRaWAN-enabled IoT sensors and drone for real-time monitoring of cotton fields.

·       To implement disease detection algorithms using drone-captured imagery for early identification of potential threats to crop health.

·       To provide a user-friendly interface for farmers to access real-time data and receive actionable insights.