Automatic Nutrition Detection System (ANDES) for Hydroponic Monitoring by using Micro controller and Smartphone Android

Abstract

In hydroponic plants, maintain adequate nutrition are very important to manage fertility of the hydroponic plants. By monitoring nutrient flow, pH stability of nutrients will be easier for a farmer to monitor the hydroponic plants. This paper proposes an Internet of Things (IoT)-based hydroponic plant controlling called ANDES. The novelty of our approach system is that sensor and microcontroller can be built to monitor and control through a smartphone. We show that ANDES can easily configure the connections of various sensors and microcontroller through a smartphone. The developed plant-care intelligence includes automatic pH nutrition, height, temperature and humidity of hydroponics. ANDES intelligence effectively lowers or to higher the pH concentration in the range value of 5.5 - 6.5. In our project, hydroponic nutrient tube was determined that the maximum water level is 6 cm. The sensor will detect if there is a decrease the water height in tube. If the water height has decreased, then the sensor will report and automatically the water pump will turn on in order to increase the nutrition height on the nutrient tube. If the temperature increased more than 28°C in the room of hydroponic plants, then this ANDES tool will turn on the pump automatically to run the cooling water in order to lower room temperature until 22°C.