Two-Stage Spatiotemporal Time Series Modelling Approach for Rice Yield Prediction & Advanced Agroecosystem Management

Two-Stage Spatiotemporal Time Series Modelling Approach for Rice Yield Prediction & Advanced Agroecosystem Management

A robust forecast of rice yields is of great importance for medium-to-long-term planning and decision-making in cereal production, from regional to national level. Incorporation of spatially correlated adjacent effects in forecasting models in general, results in accurate forecast. The Space Time Au...

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Bibliographic Details
Main Authors: Santosha Rathod, Amit Saha, Rahul Patil, Gabrijel Ondrasek, Channappa Gireesh, Madhyavenkatapura Siddaiah Anantha, Dhumannatarao Venkata Krishna Nageswara Rao, Nirmala Bandumula, Ponnuvel Senguttuvel, Arun Kumar Swarnaraj, Shaik N. Meera, Amtul Waris, Ponnuraj Jeyakumar, Brajendra Parmar, Pitchiahpillai Muthuraman, Raman Meenakshi Sundaram
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Agronomy
Subjects:
spatiotemporal time series
STARMA
ARIMA
TDNN
two-stage STARMA
crop yield prediction
Online Access:https://www.mdpi.com/2073-4395/11/12/2502

Internet

https://www.mdpi.com/2073-4395/11/12/2502

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