Hydroponic Nutrient Control System Based on Internet of Things

Authors

  • Herman Herman
  • Demi Adidrana
  • Nico Surantha
  • Suharjito Suharjito

DOI:

https://doi.org/10.21512/commit.v13i2.6016

Keywords:

Hydroponic, k-Nearest Neighbor (k- NN), pH, Total Dissolved Solids (TDS)

Abstract

The human population significantly increases in crowded urban areas. It causes a reduction of available farming land. Therefore, a landless planting method is needed to supply the food for society. Hydroponics is one of the solutions for gardening methods without using soil. It uses nutrient-enriched mineral water as a nutrition solution for plant growth. Traditionally, hydroponic farming is conducted manually by monitoring the nutrition such as acidity or basicity (pH), the value of Total Dissolved Solids (TDS), Electrical Conductivity (EC), and nutrient temperature. In this research, the researchers propose a system that measures pH, TDS, and nutrient temperature values in the Nutrient Film Technique (NFT) technique using a couple of sensors. The researchers use lettuce as an object of experiment and apply the k-Nearest Neighbor (k-NN) algorithm to predict the classification of nutrient conditions. The result of prediction is used to provide a command to the microcontroller to turn on or off the nutrition controller actuators simultaneously at a time. The experiment result shows that the proposed k-NN algorithm achieves 93.3% accuracy when it sets to k = 5.

Dimensions

Plum Analytics

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Published

2019-10-31
Abstract 2980  .
PDF downloaded 1996  .