Internet of Things based Nutrition Controlling System Development

Abstract

In agriculture, adequate nutrition controlling is essential to manage the fertility of agricultural plants. The main problem in this paper is how to carry out monitoring plant nutrition using sensors, microcontrollers, and smartphones based on the Internet of Things (IoT). Unfortunately, most of nutrition control system still uses the conventional. The objective of this paper is to describe the automatic nutrition control system for smart agriculture. The novelty of this research is the approach of sensor devices used for monitoring agriculture nutrition. To support this research, we use the DFT Deep Flow Technique (DFT) in the hydroponics. The advantage of this method is not only can keep the stability of the nutrient flow but also maintain the nutrition pH level in an ideal position and temperature humidity. We use the   IoT technologies to connect the nutrition sensors, microcontrollers, smartphones, and information of the hydroponic plant.  The research results that the system can flexibly carry out monitoring the nutrition, water level, and temperature-humidity of the hydroponics area via smartphone.