Hypaponics - Monitoring and Controlling using Internet of Things and Machine Learning

Abstract

Hypaponics is a monitoring system which takes care of integrated vertical farming. Hypaponics contains fields like Aquaponics, Agriculture and poultry. It is monitored using various sensors and the predictions are taken based on the data using Machine Learning Algorithms. These are the advantages for the farmers to decrease their water, fertilizer usage in farm and to increase their profit hence it gives multiple ways for the income. It also gives pure organic food to eat. We can also use Solar power panels for energy. This also helps the environment to lead a healthy life free from pollution. The sensors will be kept inside the hypaponics system. The detailed information about it will be noted under the hardware topic and the data from the IoT will be stored on the cloud (AWS, Microsoft Azure, Google cloud, IBM Cloud, etc) for machine learning. The organic store will be hosted where the organic products are uploaded with their cost. The consumer can check whether its organic or not by the QR code that the consumer found on their pack, where each field, product will have unique QR code in it. The farmers will also get all kind of supports from the help desk they find on the portal. The whole system is monitored 24/7 and the input to farmers are given at a regular intervals of time. The latest technologies like Internet of Things and Machine Learning are used in this project to predict the plants growth and the maintenance charges are also less. The 10% of the water is only consumed by this method while comparing with the ancient irrigation methodologies. This also saves the environment from pollution, food poisoning, diseases.