Abstract
According to the present stage low-level information of China’s cold chain preservation, a kind of fruit and vegetable cold chain preservation perception system is designed. Based on compressed sensing theory of non-related measurement data using the sparsity of the signal, remove the data redundancy. Introducing BATIMP algorithm which has good performance in data reconstruction to explore the Cold Chain networking data transmission strategy and the degree of accuracy, establish the efficient information sharing mechanism, realizing the vegetables, fruits and other agricultural products remote intelligent monitoring from the storage, transportation and sales etc. Solve the problem of redundancy of mass data for Chinese traditional sensing mechanism, and provides great convenience for monitoring environmental parameters of agricultural products.
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Acknowledgments
Supported by Key Projects of Tianjin Science and Technology Support Plan: Research and development of fruit and vegetable cold chain circulation support technology of Internet of things (No. 15ZCZDNC00240).
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Zhang, Y., Cheng, R., Li, Y., Chen, S. (2018). Research on the Fruit and Vegetable Cold Chain Preservative System Based on Compressive Sensing. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_24
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DOI: https://doi.org/10.1007/978-981-13-0893-2_24
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