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Updated: Jun 19, 2025

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外源变量驱动的深度学习模型用于改善印度TOP作物的价格预测

G H Harish Nayak1,2,3, Md Wasi Alam1, K N Singh1

  • 1ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.

Scientific reports
|July 26, 2024
PubMed
概括

深度学习模型,特别是NBEATSX和TransformerX,通过结合天气数据,显著改善了印度农产品价格预测. 这些先进的模型优于传统的统计和机器学习方法,提高了关键作物的预测准确度.

关键词:
农业作物价格 农业作物价格深度学习是一种深度学习.外源变量是一个外源变量.在NBEATSXX的位置.变压器X 变压器X

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