The objective is to create an IoT-based smart farming system that automates irrigation, identifies crop diseases, and detects animal intrusions in real time, ensuring water efficiency, crop protection, and improved productivity.
This project presents an IoT-based smart agriculture system using Raspberry Pi, web camera, soil moisture sensor, DHT11, ADC module, relays, DC water pumps, buzzer, speaker, and push-button switches. The system operates in three modes: irrigation, disease detection, and animal intrusion detection. Soil moisture and environmental parameters are monitored to automate irrigation, while the web camera is used to identify crop diseases and detect animals entering the field. Upon animal detection, the buzzer and speaker generate alerts to protect crops. The proposed system provides a low-cost, automated, and efficient solution for crop monitoring, irrigation management, and farm security.
Keywords: Raspberry Pi, Smart Irrigation, Disease Detection, Animal Intrusion Detection, IoT.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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