Optimizing Water Usage in Sugarcane Farming Through IoT Technologies

Abstract

Automation in agriculture can transform the traditional and fixed method of farming into a smart and dynamic, resulting in increased yield with lesser human supervision. This transformation is possible through the use of cutting-edge innovations such as artificial intelligence, robotics, and sensors. These technologies facilitate tasks like cultivating, harvesting, and monitoring agricultural products to be done more efficiently and accurately, resulting in increased productivity and lower labor costs.

The proposal presents an IOT-based automatic drip system that keeps tabs on the desired soil level of moisture in a sugar cane farm by means of automatic watering, thus optimizing the water usage. The system uses microcontroller in conjunction with the Blynk application platform to implement the control unit. A combination of moisture level sensor, temperature and humidity sensor and rain sensor is used to maintain the desired moisture level.   The system uses these values, which are directly displayed on a farmer's mobile device, to use the appropriate quantity of fertilizer and water, thus preventing over- or under-fertilization. IOT allows farmers to stay informed about the status of their pumps, valves, rain, humidity, temperature, and soil moisture content.