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Smart Urban Farming: Integrating AI and IoT with Renewable Energy in Vertical Farming

Students & Supervisors

Student Authors
Md. Abdul Malek Sobuj
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Faruk Abdullah Al Sohan
Lecturer, Faculty, FST

Abstract

Bangladesh is experiencing rapid urbanization, which creates a growing need for sustainable food production solutions. Vertical farm ing (VF) combined with renewable energy offers a promising approach to improving food security while maintaining environmental sustainabil ity. This paper builds on previous research on energy-efficient VF by integrating artificial intelligence (AI) and Internet of Things (IoT) tech nologies to enable intelligent resource management and automation. A smart system is proposed that uses IoT sensor networks and AI-based predictive analytics to optimize energy use, irrigation, and lighting in ur ban VF settings. The system also includes renewable energy forecasting for efficient operation and a remote monitoring dashboard for farmers. The proposed model aims to increase crop yield, reduce resource con sumption, and support scalable urban farming in Bangladesh.

Keywords

Vertical Farming · Artificial Intelligence · Internet of Things· Renewable Energy· Smart Agriculture · Urban Farming · Energy Efficiency

Publication Details

  • Type of Publication: Conference 
  • Conference Name: International Conference on Data Science, AI and Applications,
  • Date of Conference: 18/07/2025 - 18/07/2025
  • Venue: EATL Innovation Hub, Kaliakair Hi- Tech City, Gazipur
  • Organizer: EATL Innovation Hub in collaboration with the University of Salford
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