Title : Data analytics on precision agriculture
Abstract:
The scarcity of clean water resources globally has created a need for their optimal utilization. Internet of Things (IoT) solutions bridge the gap
between the cyber and physical worlds using application-specific sensors and intelligent data processing.IoT-based smart irrigation systems help achieve optimal water resource uilization in precision farming.The system uses open-source technology to predict irrigation requirementsbased on ground parameters such as soil moisture, temperature, andenvironmental conditions, along with Internet-based weather forecasts.Sensing nodes collect data on soil moisture, air temperature, UV radiation, and relative humidity in crop fields.The system's intelligence relies on a smart algorithm that combines real-timesensor data with weather forecast parameters, including precipitation,temperature, humidity, wind speed, and UV radiation.Sensor node data is wirelessly collected and stored on the cloud using web services. A web-based information visualization and decision support system provides real-time insights through the analysis of sensor and weather data. The system includes a closed-loop control mechanism for autonomous water supply management.A pilot-scale deployment demonstrated the system’s effectiveness, analyzing fourdays of data using the proposed algorithm.
