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Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture

Biomass estimation, fertilisation, and crop production reflect crop yield potential. The prediction of these variables allows the selection of crop cultivars with high yield potential. Deep neural networks (DNNs) can predict such crop variables. However, DNNs are data greedy algorithms that overfit/...

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书目详细资料
Main Authors:	Derraz, Radhwane, Muharam, Farrah Melissa, Jaafar, Noraini Ahmad, Yap, Ng Keng
格式:	Article
出版:	Elsevier 2023
在线阅读:	http://psasir.upm.edu.my/id/eprint/108355/ https://www.sciencedirect.com/science/article/abs/pii/S0168169923000340?via%3Dihub
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