Identifying strawberry appearance quality based on unsupervised deep learning
Author:
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11119-023-10085-x.pdf
Reference48 articles.
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2. Anjom, F. K., Vougioukas, S. G., & Slaughter, D. C. (2018). Development and application of a strawberry yield-monitoring picking cart. Computers and Electronics in Agriculture, 155, 400–411. https://doi.org/10.1016/j.compag.2018.10.038
3. Brosnan, T., & Sun, D. W. (2002). Inspection and grading of agricultural and food products by computer vision systems—a review. Computers and Electronics in Agriculture, 36(2–3), 193–213. https://doi.org/10.1016/S0168-1699(02)00101-1
4. Deeba, K., & Amutha, B. (2020). ResNet-deep neural network architecture for leaf disease classification. Microprocessors and Microsystems. https://doi.org/10.1016/j.micpro.2020.103364
5. Farias, G., Dormido-Canto, S., Vega, J., Rattá, G., Vargas, H., Hermosilla, G., & Valencia, A. (2016). Automatic feature extraction in large fusion databases by using deep learning approach. Fusion Engineering and Design, 112, 979–983. https://doi.org/10.1016/j.fusengdes.2016.06.016
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