[1] Burdon J, Lallu N. Kiwifruit (actinidia spp.)[M]. Yahia E M. Postharvest biology and technology of tropical and subtropical fruits, 326-362(2011).

[2] Li H J, PidakalaPaul, BillingDavid et al. Kiwifruit firmness: measurement by penetrometer and non-destructive devices[J]. Postharvest Biology and Technology, 120, 127-137(2016).

[3] Li F Y, Huo H T, Li J et al. Hyperspectral image classification via multiple-feature-based improved sparse representation[J]. Acta Optica Sinica, 39, 0528004(2019).

[4] Wu Y Q, Li M, Zhang B et al. Application of hyperspectral imaging technology in grain quality detection[J]. Journal of the Chinese Cereals and Oils Association, 36, 165-173(2021).

[5] Zhao J X, Dong Q L, Chen P Q et al. Application progress of hyperspectral imaging technology in rapid detection of microbial contamination in animal derived food[J]. Science and Technology of Food Industry, 43, 467-473(2022).

[6] Li W, Lü M, Chen T H et al. Application of a hyperspectral image in medical field: a review[J]. Journal of Image and Graphics, 26, 1764-1785(2021).

[7] Shang J, Feng S N, Tan T et al. Rapid prediction for the firmness of Guichang Kiwifruit by hyperspectral imaging[J/OL]. Science and Technology of Food Industry, 1-10.

[8] Benelli A, Cevoli C, Fabbri A et al. Ripeness evaluation of kiwifruit by hyperspectral imaging[J]. Biosystems Engineering, 223, 42-52(2022).

[9] Wang Z D, Hu M H, Zhai G T. Application of deep learning architectures for accurate and rapid detection of internal mechanical damage of blueberry using hyperspectral transmittance data[J]. Sensors, 18, 1126(2018).

[10] Shao Y Y, Wang Y X, Xuan G T et al. Hyperspectral imaging technique for estimating the shelf-life of kiwifruits[J]. Spectroscopy and Spectral Analysis, 40, 1940-1946(2020).

[11] Zhang H K, Li Y, Jiang Y N. Deep learning for hyperspectral imagery classification: the state of the art and prospects[J]. Acta Automatica Sinica, 44, 961-977(2018).

[12] Ghaderizadeh S, Abbasi-Moghadam D, Sharifi A et al. Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7570-7588(2022).

[13] Xu Q, Xiao Y, Wang D Y et al. CSA-MSO3DCNN: multiscale octave 3D CNN with channel and spatial attention for hyperspectral image classification[J]. Remote Sensing, 12, 188(2020).

[14] Zheng J W, Feng Y C, Bai C et al. Hyperspectral image classification using mixed convolutions and covariance pooling[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 522-534(2021).

[15] Li G D, Zhang C J, Gao F et al. Doubleconvpool-structured 3D-CNN for hyperspectral remote sensing image classification[J]. Journal of Image and Graphics, 24, 639-654(2019).

[16] Li W J. A study of face recognition based on local feature extraction[D](2017).

[17] Liu W H, Liu G S, Chen X W et al. Robust texture representation by combining differential feature and Haar wavelet decomposition[J]. Journal of Computer Applications, 40, 2728-2736(2020).

[18] Liu P J, Zhang H Z, Zhang K et al. Multi-level wavelet-CNN for image restoration[C], 886-88609(2018).

[19] Wang X. Moving window-based double haar wavelet transform for image processing[J]. IEEE Transactions on Image Processing, 15, 2771-2779(2006).

[20] Chakraborty T, Trehan U. SpectralNET: exploring spatial-spectral WaveletCNN for hyperspectral image classification[EB/OL]. https://arxiv.org/abs/2104.00341

[21] Wang Y P, Guo Y, Fei X Q. Impacts of chlorine dioxide treatment on preservation quality of kiwifruit[J]. Journal of Northwest Forestry University, 29, 151-154(2014).

[22] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[23] Chollet F. Xception: deep learning with depthwise separable convolutions[C], 1800-1807(2017).

[24] Tan M X, Le Q V. EfficientNet: rethinking model scaling for convolutional neural networks[C], 6105-6114(2019).

[25] Xu L J, Chen M, Wang Y C et al. Study on non-destructive detection method of kiwifruit sugar content based on hyperspectral imaging technology[J]. Spectroscopy and Spectral Analysis, 41, 2188-2195(2021).