Spectrum-Based Sensor Technology for Organic Fruit Detection and Preservation Optimization via Pulse Electric Field Treatment

This study introduces a novel approach combining spectrum sensor technology and pulse electric field (PEF) treatment for organic fruit detection and enhanced preservation. Spectrum sensors, such as hyperspectral imaging and near- infrared spectroscopy, enable non-destructive identification of organic fruits based on their distinct spectral signatures. Calibration models establish a correlation between spectral data and organic characteristics, facilitating accurate detection during post-harvest processes. Concurrently, PEF treatment is explored as a sustainable preservation method, employing short, intense electric pulses to create pores in cell membranes, disrupting microbial activity. The integration of a real-time detection system ensures efficient sorting, with identified organic fruits undergoing PEF treatment. Preliminary results demonstrate promising outcomes in both organic fruit detection and preservation efficacy, showcasing the potential of this combined approach to revolutionize post-harvest processes in the organic food industry. This study contributes to the advancement of sustainable and quality-driven practices in organic fruit cultivation, promising benefits for both producers and consumers alike.