INTEGRATING INTELLIGENCE IN HYDROPONIC FARMS

Agriculture plays a major role on improving the economy of the country. Modern farming technique like Hydroponics is in rise which is soilless farming culture and the plants were grown with the help of nutrient solutions. The Hydroponic system can be controlled by applying machine learning algorithms like Deep Neural Networks. Internet of Things (IoT) allows Machine to Machine communication and controlling the hydroponic system autonomously and intelligently. This work proposes to develop an intelligent IoT based hydroponic system by employing Deep Neural Networks. The system so developed is intelligent enough in providing the appropriate control over the sprinkler and water flow for the hydroponic environment based on the multiple input parameters gathered from sensors like pH, temperature, humidity and water flow.