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Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India.

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第一作者： G H Harish,Nayak

第一单位： ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.;The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.;University of Agricultural Sciences, Dharwad, Karnataka, 110012, India.

作者： G H Harish,Nayak ^[1] ; Md Wasi,Alam ^[2] ; K N,Singh ^[2] ; G,Avinash ^[3] ; Rajeev Ranjan,Kumar ^[4] ; Mrinmoy,Ray ^[5] ; Chandan Kumar,Deb ^[2]

作者单位： ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.;The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.;University of Agricultural Sciences, Dharwad, Karnataka, 110012, India. ^[1] ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India. ^[2] ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.;The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India. ^[3] ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India. rrk.uasd@gmail.com. ^[4] ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India. mrinmoy4848@gmail.com. ^[5]

关键词 Agricultural crop prices Deep learning Exogenous variable NBEATSX TransformerX

DOI 10.1038/s41598-024-68040-3

PMID 39060335

发布时间 2024-07-29

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