Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services 2022
DOI: 10.1145/3498361.3538780
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SSCense

Abstract: Figure 1: (a) SSCense uses a millimeter-wave (mmWave) transceiver with 3 transmitters and 4 receivers to estimate the Soluble Sugar Content (SSC) of fruits; (b) Top-down view of data collection setup for controlled experiments with sugar solutions inside a container; (c-d) Fruits are in front of the transceiver, and reflected signals from multiple antenna pairs are collected. The extracted features from these signals are fed to an estimation model for predicting SSC on a °Brix scale [1].

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