DIGITAL TWIN SMART INDOOR FARMING SYSTEM USING L-SYSTEM ALGORITHM

• Main Author: Kharisma Nurhidayat E P, Rizky
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86565
• Institution: Institut Teknologi Bandung

The development of modern technology has brought various innovations in the field of simulation, one of which is the concept of Digital Twin, an advanced innovation from traditional simulators. Digital Twin is capable of replicating physical assets or systems in real-time by integrating IoT, AI, and Big Data technologies. The application of Digital Twin is highly relevant in precision farming, which requires measured data to improve efficiency and accuracy in agriculture. However, current precision farming simulations are less interactive, as they only present raw data. Therefore, it is important to develop a procedural generation method that can accurately depict plant growth in various environmental conditions. This research also focuses on integrating key environmental factors such as pH, light intensity, air temperature, water temperature, humidity, and dissolved nutrients into the procedural generation model to produce better and more interactive forms of communication. Through gamification, the interactive aspect is enhanced by applying game elements to the system, such as what-if scenarios, which can increase user engagement. Procedural generation allows for interactive visualizations that automatically depict plants, offering new solutions for realistically illustrating plant growth in accordance with real-world environmental factors.