Sepehr Mousavi, Doctoral student (not working at IDT anymore)


The Role of AI in Enhancing Sustainability in On-Site Farming

The integration of Artificial Intelligence (AI) in on-site farming is transforming sustainable food production through performance optimization and enhanced resource efficiency. AI systems analyze real-time data from sensors to fine-tune critical parameters of controlled-environment agriculture such as light intensity, irrigation schedules, climate parameters, CO2 and nutrient delivery, ensuring minimal waste and maximum yields.

A key innovation lies in image-based plant performance monitoring, where computer vision technologies analyze plant health, growth patterns, and early signs of stress or disease. These insights enable proactive interventions that improve crop quality and reduce resource loss.

In addition, AI enhances energy management by optimizing lighting systems, HVAC controls, and other energy-intensive processes, reducing consumption while balancing renewable energy integration with host buildings and the grid. Predictive maintenance and anomaly detection further ensure system reliability, preventing disruptions and inefficiencies.

The research questions in my doctoral studies will focus on the optimization of resource management and the development of plant performance indication using AI-driven solutions.

By leveraging AI for smarter resource use, precise monitoring, and performance optimization, on-site farming becomes a more efficient, resilient, and sustainable solution. These advancements position AI as a cornerstone for addressing global challenges in resource scarcity, climate change and future food security in a holistic picture.