Forecasting cotton yield in India using a super ensemble model of machine learning and deep learning techniques

Abstract This paper shows a comprehensive analysis and prediction model for annual cotton yield in India using time series data from 1964 to 2020. We used lag1 to lag5 predictors and a number of machine learning algorithms to predict cotton yield. We have used machine learning algorithms like feedfo...

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Detalles Bibliográficos

Principais autores:	Neetu Agarwal, Neelu Chaudhary, K. C. Tripathi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2025-11-01
Series:	Discover Applied Sciences
Assuntos:	Super ensemble model Deep learning model Lags Forecasting skills Agriculture
Acceso en liña:	https://doi.org/10.1007/s42452-025-07951-w
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