Enhancement of Agriculture Productivity and Automation of Agriculture using IoT

The abstract for the project titled "Enhancement of Agriculture Productivity and Automation of Agriculture using IoT" presents an innovative approach to modernizing agriculture practices through the integration of various IoT components and Arduino-based control systems. This project employs sensors such as LDR (Light Dependent Resistor), soil moisture sensor, PIR (Passive Infrared) sensor, and DHT11 to monitor and manage different aspects of agriculture. The system operates as follows: When the LDR sensor detects low light conditions, it triggers the activation of lights using a relay. This ensures that crops receive adequate illumination even during dark periods, promoting optimal growth. Additionally, in cases where the soil moisture sensor detects low moisture levels, a water pumping motor is automatically activated through another relay, guaranteeing that the crops receive the necessary irrigation.

To safeguard the crops from potential threats posed by animals, the PIR sensor is utilized. When it is triggered, a voice module is activated, emitting sounds of honey bees to deter animals from entering the agricultural area. Simultaneously, an electric fence is engaged using yet another relay, providing an additional layer of security. The DHT11 sensor collects environmental data, such as temperature and humidity, which is then displayed on an LCD screen. Furthermore, the system utilizes a GSM module to upload this data to a web server, allowing farmers to monitor the conditions remotely. In addition to remote monitoring, the GSM module facilitates SMS alerts, notifying farmers of any critical changes in environmental conditions.

Keywords: Arduino, GSM module, LDR sensor, PIR sensor, Soil Moisture sensor, Voice Module, Relay, DC pump.