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

Autor:	Radhwane Derraz, Farrah Melissa Muharam, Noraini Ahmad Jaafar, Ng Keng Yap
Rok vydání:	2023
Předmět:	Forestry Horticulture Agronomy and Crop Science Computer Science Applications
Zdroj:	Computers and Electronics in Agriculture. 206:107646
ISSN:	0168-1699
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0e1976e322609ed637a3f46c4f21183f https://doi.org/10.1016/j.compag.2023.107646 Zobrazit plný text záznamu Full Text from ScienceDirect