This research area focuses on the development of sensor-based technologies for precise monitoring and control of water and nutrient dynamics in greenhouse and hydroponic systems. Emphasis is placed on ion-specific sensing, root-zone monitoring, and data-driven nutrient management strategies to improve resource-use efficiency and cultivation stability. 

This research focuses on data-driven modeling approaches that incorporate both environmental variables and plant physiological responses. By leveraging plant-based signals and sensor data, the goal is to improve crop status assessment, decision-making, and predictive control in precision agriculture. 

This area explores automation and robotic technologies for agricultural systems, with an emphasis on supporting precise, repeatable, and efficient cultivation operations. Research includes the definition of task requirements, system integration with cultivation environments, and automation strategies aligned with smart farming platforms. The representative image is created by Goolge Gemini.