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An ARIMA-LSTM model for predicting volatile agricultural price series with random forest technique
Abstract Machine learning mechanism is establishing itself as a promising area for
modelling and forecasting complex time series over conventional statistical models. In this …
modelling and forecasting complex time series over conventional statistical models. In this …
[HTML][HTML] State of the art in total pulse production in major states of India using ARIMA techniques
Pulses are staple protein-rich food for Indian vegetarians, and India is one of the largest
producers in the world. The present investigation is an attempt to study the trend in the …
producers in the world. The present investigation is an attempt to study the trend in the …
Time series SARIMA modelling and forecasting of monthly rainfall and temperature in the South Asian countries
This study attempted to examine the future behaviour of monthly average rainfall and
temperature of South Asian countries by using the Seasonal Autoregressive Moving …
temperature of South Asian countries by using the Seasonal Autoregressive Moving …
State of the art in wind speed in England using BATS, TBATS, Holt's Linear and ARIMA model: Wind speed in England using BATS, TBATS, Holt's Linear and ARIMA …
Wind energy is one of the most important renewable energy sources in the world. Hence, the
prediction of wind speed is a highly significant subject with respect to both protecting the …
prediction of wind speed is a highly significant subject with respect to both protecting the …
[HTML][HTML] Forecasting of wheat production in Haryana using hybrid time series model
Agriculture plays vital role in Indian economy and employment; India is one of the largest
countries in terms of wheat production and consumption. This research aims to study …
countries in terms of wheat production and consumption. This research aims to study …
Comparison of deep learning models for milk production forecasting at national scale
Forecasting of agricultural variables at national scale is essential for develo** policies
aimed at guaranteeing food security and increase the stability of the entire agri-food chain …
aimed at guaranteeing food security and increase the stability of the entire agri-food chain …
Modeling and forecasting of sugarcane production in India
Sugarcane plays an essential role in the economy of the India. During 2018, 79.9% of total
sugarcane production of India was used in the manufacture of white sugar, 11.29% was …
sugarcane production of India was used in the manufacture of white sugar, 11.29% was …
Forecasting of tilapia (Oreochromis niloticus) production in Bangladesh using ARIMA model
Tilapia farming has expanded rapidly in Bangladesh over the years thanks to a suitable
climate for aquaculture and a consistently increasing demand for the fish rich in vitamins and …
climate for aquaculture and a consistently increasing demand for the fish rich in vitamins and …
Prediction and forecast of pre-monsoon and post-monsoon groundwater level: using deep learning and statistical modelling
Abstract Information about the seasonal groundwater allocation and utilization is essential to
effectively manage the stress on the groundwater table of Punjab (India). Modelling and …
effectively manage the stress on the groundwater table of Punjab (India). Modelling and …
Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a …
Providing fresh blood to keep people in need of blood alive, has always been a main issues
of health systems. Right policy-making in this area requires accurate forecasting of blood …
of health systems. Right policy-making in this area requires accurate forecasting of blood …