The growth in interest in producing food within the cities has pushed an increase in innovations for efficient culturing such as the hydroponic systems. Hydroponics, Fog Computing, MQTT, Support Vector Machines (SVM), Hydroponics System Digital Twins, ESP8266, Convolutional Neural Networks (CNN) are some of the technologies in focus of this paper. Fog Computing reduces latency for real-time data processing and decision making whereas MQTT optimizes IoT device communication. It also improves the analysis of environmental data to maximize the utilization of resources and estimate plant growth. The Digital Twin therefore entails generating a virtual copy of the system that allows the testing of different scenarios in a real-life setting without having to affect the real process. The ESP8266 microcontroller ensures dependable wireless communication, while CNN analyzes visual inputs to check on plant health. The application of these concepts results in better management of resources, comparable yields and operational efficiency, hereby indicating a successful integration of the IoT and machine learning in hydroponic systems in the context of modern urban agriculture.