Classification of Rice Varieties Using a Deep Neural Network Model
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6062-0_47
Reference36 articles.
1. Moazzam, S.I., et al.: A review of application of deep learning for weeds and crops classification in agriculture. In: 2019 International Conference on Robotics and Automation in Industry (ICRAI), pp. 1–6. IEEE (2019)
2. Pallagani, V., et al.: DCrop: a deep-learning-based framework for accurate prediction of diseases of crops in smart agriculture. In: 2019 IEEE International Symposium on Smart Electronic Systems (ISES), pp. 29–33 (2019)
3. Guillén-Navarro, M.A., et al.: A deep learning model to predict lower temperatures in agriculture. J. Ambient Intell. Smart Environ. 12(1), 21–34 (2020)
4. Darwin, B., et al.: Recognition of bloom/yield in crop images using deep learning models for smart agriculture: a review. Agronomy 11(4), 646 (2021)
5. Kelly, S., Tolvanen, J.P.: Domain-Specific Modeling: Enabling Full Code Generation. Wiley IEEE Computer Society Press, Hoboken (2008)
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