The increasing pressures introduced by urbanization, limited land space for farming, and climate change push the establishment and deployment of novel and sustainable production systems for food. This paper suggests the establishment and deployment of hybrid-innovation-based intelligent aquaponics system using Internet of Things (IoT) with the incorporation of Artificial Intelligence (AI) that facilitates productive, automated, and sustainable urban agriculture. The system is defined by a modular architecture that includes an expanding bed and fish tank that uses Lightweight Expanded Clay Aggregate (LECA) as a growing medium. The ESP8266 microcontroller takes sensor readings of environmental factors such as pH level and water temperature, enabling access to real-time data and transmission to the Firebase cloud platform. An Arduino Nano-powered automated feeder ensures precise and automated feeding of the fish with minimal human intervention. Besides, plant health is also ensured by image-based disease diagnosis from a CNN model trained on the PlantVillage dataset and notified by a customized Android app. The system is extremely reliable in sensor reading accuracy, scheduling timely feeding, and over 90% accuracy in sensing the disease in plants. The integration of IoT and AI in aquaponics system offers a low-cost, scalable, and easy-to-use solution for sustainable food production focusing on space-constrained urban and semi-urban environments.