• Designing and developing a portable fruit sensing chamber
for controlled data acquisition.
• Design and integration of a multi-sensor platform, using
optical and gas sensing technologies.
• Co-ordinated data acquisition software and real-time
visualization.
• Production of a multi-modal dataset with synchronized
data from all sensors in a structured form.
• Development of a dataset capable of being used for future
fruit quality assessment systems using AI.
