Automated Hydroponic Drip Irrigation Using Big Data

Abstract

Modern Agricultural lands are renovated through Smart Farming using the IoT and Big Data technologies which help farmers to reduce the usage of natural resources to increase efficiency. This technological growth is driven by continuous improvements in digital tools and data. The traditional irrigation monitors and controls the involved variables for the cultivation of the crops which are the actions that farmers should implement in their crops to save water resources and assessing their growth. Hydroponic drip irrigation systems defined as growing plants and crops without the soil. Conversely, hydroponic irrigations systems have the potential of saving the water and other nutrients by dripping the water slowly to the roots of the plant. The present irrigation system provides only soil moisture and the surrounding temperatures with sensors. In this paper, the system is used to record the sensor values and can manipulate the nutrient values when required. This work is all about the drip control and applying it to hydroponic farming by developing an interface between human and software which allows a continuous monitor of pH and all sensors, including the position of the plant by capturing via camera and monitoring via mobile application. Using big data, the supply of nutrient values gets tracked and recorded. This recorded data gets useful to automate the irrigation system further.