A Smart Hydroponic Farming System Using Machine Learning

Abstract

The growing demand for food in the world may not be met with the traditional farming system coupled with rising pollution level and oscillations in climate. Hydroponic System is a system of growing crops without soil, produces organic crops without using fertilizers or pesticides and its results are better than traditional farming based on yield and quality. Hydroponic System enables farming of crops in indoors at convenience and requires negligible attention of user. It increases the productivity and reduces the water utilization up to 80-90% as compared to the traditional farming system. We propose a Smart Hydroponic Farming System to grow various crops by maintaining and controlling environmental parameters such as temperature, water flow or level, nutrients in water, duration of lights, etc. using Machine learning model. After selecting the plant, the Raspberry Pi will automatically set the environment for that plant as trained in ML model and the growing process will begin automatically. User will be able to monitor and control the system by making use of Web Portal.