• PRAWIN RAJA.E
• RAGAVI.E
• V.R.KAVITHA

In this exponentially increasing population and decreasing productive agriculture land, the need for sustainable food security is at highest priority. Hydroponics is the system of growing plants without soil, on a water medium with air, light and nutrients. In this thesis the sensors like temperature, humidity, pH, luminosity and water pump are introduced to the hydroponics system. Theses sensors measure, collect and store the appropriate values to the database. This collected data is used in a supervised machine learning time series analysis and forecasting based ARIMA (Autoregressive Integrated Moving Average) model to predict the amount of water resource needed for the hydroponics system for the next seven days.

IOT, Hydroponics, Machine Learning, Supervised Learning, Time Series, ARIMA

"CREATING A MACHINE LEARNING BASED PREDICTION ALGORITHM FOR PREDICTING THE AMOUNT OF WATER RESOURCE REQUIRED FOR A HYDROPONICS SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.542-547, May-2019, Available :http://www.jetir.org/papers/JETIR1905F82.pdf

"CREATING A MACHINE LEARNING BASED PREDICTION ALGORITHM FOR PREDICTING THE AMOUNT OF WATER RESOURCE REQUIRED FOR A HYDROPONICS SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp542-547, May-2019, Available at : http://www.jetir.org/papers/JETIR1905F82.pdf