This paper offered a framework for Internet of Things-based automated smart farming in hydroponics. The growing global demand for food and the necessity for a marketplace for novel, sustainable farming methods using the Internet of Things are the challenges that this framework addressed. The proposed design can be broken down into four primary parts: device, communication, fog, and the cloud layer. Predictive modeling is implemented utilizing supervised machine learning algorithms for two separate situations, accuracy and intelligence by employing regression and classification algorithms, respectively, and is deployed at the fog layer for effective computation over the cloud layer. The framework enhanced its display and allowed it to successfully carry out the purpose of the entire framework executed.

Fog Computing, Hydronic System, Internet of Thing, Machine Learning, Smart Farming