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A Low-Cost Non-invasive Fruit Ripeness Sensing System (Case No. 2025-007)

Summary: Researchers in the Department of Computer Science at UCLA developed an affordable, non-invasive fruit ripeness estimation system to improve operational efficiency of food manufacturing systems. Background: Fruit waste accounts for a significant portion of global waste due to consumer purchasing trends and grower harvesting issues. Consumers...

Published: 4/1/2026 | Inventor(s): Omid Abari, Shanmu Wang

Keywords(s): acoustics, Agriculture, Cellular agriculture, Continuous-Wave Radar, frequency modulation, millimeter-wave, mmWave backscatter network, Radiofrequency Ablation

Category(s): Software & Algorithms > Data Analytics, Optics & Photonics, Optics & Photonics > Remote Sensing, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > AI Algorithms