Quality detection and storage and preservation of black diamond apples in Linzhi, Tibet based on hyperspectral and deep learning approach

[1] Haiyan, Fan, Yunjin, Chen, Yulan, & Guo,(2017). Hyperspectral image restoration using low-rank tensor recovery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(10), 4589-4604. Search in Google Scholar

[2] Crevoisier, C., Nobileau, D., Fiore, A. M., Armante, R., A Chédin, & Scott, N. A. (2017). Tropospheric methane in the tropics – first year from iasi hyperspectral infrared observations. Atmospheric Chemistry & Physics Discussions, 9(17), 6337-6350. Search in Google Scholar

[3] Chen, Y., Jiang, H., Li, C., Jia, X., & Ghamisi, P. (2016). Deep feature extraction and classification of hyperspectral images based on CNNs. IEEE Transactions on Geoscience & Remote Sensing, 54(10), 6232-6251. Search in Google Scholar

[4] Lee, C. M., Cable, M. L., Hook, S. J., Green, R. O., Ustin, S. L., & Mandl, D. J.,(2015). An introduction to the nasa hyperspectral infrared imager (hyspiri) mission and preparatory activities. Remote Sensing of Environment, 6-19. Search in Google Scholar

[5] A, H. A., B, A. B., A, A. B., & A, G. B. (2015). Generating 3d hyperspectral information with lightweight uav snapshot cameras for vegetation monitoring: from camera calibration to quality assurance. ISPRS Journal of Photogrammetry and Remote Sensing, 108(5), 245-259. Search in Google Scholar

[6] Alsubari, S. N., Deshmukh, S. N., Alqarni, A. A., Alsharif, N., H., T.(2022). Data Analytics for the Identification of Fake Reviews Using Supervised Learning. CMC-Computers, Materials & Continua, 70(2), 3189–3204. Search in Google Scholar

[7] Palanisamy, S.; Thangaraju, B.; Khalaf, O.I.; Alotaibi, Y.; Alghamdi, S.; Alassery, F. A Novel Approach of Design and Analysis of a Hexagonal Fractal Antenna Array (HFAA) for Next-Generation Wireless Communication. Energies 2021, 14, 6204. https://doi.org/10.3390/en14196204. Search in Google Scholar

[8] K. Chandra, A. S. Marcano, S. Mumtaz, R. V. Prasad and H. L. Christiansen, “Unveiling Capacity Gains in Ultradense Networks: Using mm-Wave NOMA,” in IEEE Vehicular Technology Magazine, vol. 13, no. 2, pp. 75-83, June 2018. Search in Google Scholar

[9] Ali, Rahman, Sungyoung Lee, and Tae Choong Chung. “Accurate multi-criteria decision making methodology for recommending machine learning algorithm.” Expert Systems with Applications 71 (2017): 257-278. Search in Google Scholar

[10] Haiyan, Fan, Yunjin, Chen, Yulan, & Guo,(2017). Hyperspectral image restoration using low-rank tensor recovery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(10), 4589-4604. Search in Google Scholar

[11] Crawley, J., Chapman, S. N., Lummaa, V., & Lyns Da Le, C. L. (2016). Testing storage methods of faecal samples for subsequent measurement of helminth egg numbers in the domestic horse. Veterinary Parasitology, 221, 130-133. Search in Google Scholar

[12] Reddoch, K., Montgomery, R., Getz, T., & Cap, A. P. (2016). Extended storage of refrigerated platelets in isoplate and intersol pas: an evaluation of two fda-approved methods of collection. Blood, 128(22), 2631-2631. Search in Google Scholar

[13] Niu, X., Zhang, L., & Liu, L. (2017). Effect of different preservation treatments on the room temperature storage of “gala” apple. Asian Agricultural Research, v.9(12), 37-40. Search in Google Scholar

[14] Yuan, J. G., Yan, Z., & Xiao, F. N. (2016). Numerical simulation of cold storage and preservation of hanfu apple. Journal of Biosystems Engineering, 41(3), 184-192. Search in Google Scholar

[15] Radenkovs, V., & Juhnevica-Radenkova, K. (2018). Comparison of three storage techniques for post-harvest quality preservation of six commercially available cultivars of apple. International Journal of Fruit Science, 1-19. Search in Google Scholar

[16] Zhan, X., Zhu, Z., & Sun, D. W. (2018). Effects of pretreatments on quality attributes of long-term deep frozen storage of vegetables: a review. Critical Reviews in Food Science & Nutrition, 1-15. Search in Google Scholar

[17] Diao, E., Wang, J., Li, X., Wang, X., & D Gao. (2017). Patulin degradation in apple juice using ozone detoxification equipment and its effects on quality. Journal of Food Processing and Preservation, 42(7), e13645.1-e13645.7. Search in Google Scholar

[18] Tao, C., Pan, H., Li, Y., & Zou, Z. (2015). Unsupervised spectral–spatial feature learning with stacked sparse autoencoder for hyperspectral imagery classification. IEEE Geoscience & Remote Sensing Letters, 12(12), 2438-2442. Search in Google Scholar

[19] Liao, W., Huang, X., Coillie, F. V., Gautama, S., Pizurica, A., & Philips, W.,(2017). Processing of multiresolution thermal hyperspectral and digital color data: outcome of the 2014 ieee grss data fusion contest. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 8(6), 2984-2996. Search in Google Scholar

[20] Halimi, A., Dobigeon, N., & Tourneret, J. Y. (2015). Unsupervised unmixing of hyperspectral images accounting for endmember variability. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 24(12), 4904. Search in Google Scholar