RiceNet: convolutional neural networks-based model to classify Pakistani grown rice seed types
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s00530-021-00760-2.pdf
Reference17 articles.
1. Ali, T., et al.: Detecting fraudulent labeling of rice samples using computer vision and fuzzy knowledge. Multimed. Tools Appl. 76(23), 24675–24704 (2017)
2. Anami, B.S., et al.: Automated recognition and classification of adulteration levels from bulk paddy grain samples. Inf. Process. Agric. 6(1), 47–60 (2019)
3. Aslam, M.W., et al.: Mercury contamination status of rice cropping system in Pakistan and associated health risks. Environ. Pollut., 114625 (2020). https://doi.org/10.1016/j.envpol.2020.114625
4. Aukkapinyo, K., et al.: Localization and classification of rice-grain images using region proposals-based convolutional neural network. Int. J. Autom. Comput., 1–14 (2019). https://doi.org/10.1007/s11633-019-1207-6
5. Chandio, A.A., et al.: Examining the effects of climate change on rice production: case study of Pakistan. Environ. Sci. Pollut. Res. 27(8), 7812–7822 (2020)
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