Agriculture is the process of breeding animals, plants and fungi for various outputs like food, fiber, bio fuel, medicine and other products used to sustain and enhance human life. However agriculture suffers largely due to erratic climate. There will not be even rainfall across all regions and majority of land depends on water for irrigation. Another major issue would be benefit to farmers as not all vegetables grow in same time period and climatic conditions which increases the complexity of cultivation of seasonal crops. Hence in recent times, many farmers have started utilizing modern technologies such as greenhouse and hydroponics. Not only farmers many individual people have started terrace gardening, hydroponics and greenhouse gardening for individual needs. For meeting future food needs new technologies like hydroponics could be the solution. Hydroponics is the art of growing plants without soil. Instead we use a nutrient-rich solution to deliver water and minerals to their roots directly. Few fundamental factors that affect the growth and quality of hydroponic plants are the temperature, pH level, concentration of nutrients, light intensity and humidity. This paper is focused on designing efficient deep water hydroponic farming system in green house environment that could control temperature based on AI and Cloud technology to predict future forecast using Internet of Things (IoT). IoT model consists of wireless sensor network, data logger, machine to machine actuator to remotely controlling and monitoring all parameters through internet work. The fuzzy logic control algorithm is implemented to control the plant temperature using embedded microcontroller ATMega326 including I/O hardware.
Volume 11 | 05-Special Issue
Pages: 2320-2327