IoT based Farming Techniques in Indoor Environment: A Brief Survey
Mahesh S Gour, V. Raghu Veera Reddy, M Vamsi, N Sridhar, Vishuvardhan, V. Ram
Abstract
The past few decades, research is going on growing of plants without soil and supplying the nutrients with manual control to help farmers for high yield and less cost. The hydroponics technique was used for plants for its high growth of plants. These techniques had the problems of its high initial cost and required a trained person for the maintenance. These techniques were later interfaced with IoT for controlling the system via the internet. There was more water usage when compared to a new technique called Aeroponics. In recent years, the hydroponics technique was interfaced with machine learning algorithms which achieved accurate growth of plants based on the nutrients supplied to plants which reduced a little water usage. In aeroponics, which is reduced almost 98% less water usage when compared to the other existing techniques. In this paper, Considering the yield and the growth of plants, existing technologies are discussed and an efficient approach is provided for the accurate growth of plants with less water usage and minimum need of nutrients using machine learning based aeroponics technique with multiple input parameters like humidity, temperature, airflow, nutrients, carbon dioxide, and light intensity.