An ARIMA-LSTM model for predicting volatile agricultural price series with random forest technique

S Ray, A Lama, P Mishra, T Biswas, SS Das… - Applied Soft …, 2023 - Elsevier
Abstract Machine learning mechanism is establishing itself as a promising area for
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

P Mishra, A Yonar, H Yonar, B Kumari… - Current Research in …, 2021 - Elsevier
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 …

Time series SARIMA modelling and forecasting of monthly rainfall and temperature in the South Asian countries

S Ray, SS Das, P Mishra, AMG Al Khatib - Earth Systems and Environment, 2021 - Springer
This study attempted to examine the future behaviour of monthly average rainfall and
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 …

M Abotaleb, T Makarovskikh, A Yonar, A Badr, P Mishra… - Mausam, 2022 - 103.215.208.102
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 …

[HTML][HTML] Forecasting of wheat production in Haryana using hybrid time series model

M Devi, J Kumar, DP Malik, P Mishra - Journal of Agriculture and Food …, 2021 - Elsevier
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 …

Comparison of deep learning models for milk production forecasting at national scale

L Cesarini, R Gonçalves, M Martina, X Romão… - … and Electronics in …, 2024 - Elsevier
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 …

Modeling and forecasting of sugarcane production in India

P Mishra, AMG Al Khatib, I Sardar, J Mohammed… - Sugar tech, 2021 - Springer
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 …

Forecasting of tilapia (Oreochromis niloticus) production in Bangladesh using ARIMA model

MAB Siddique, B Mahalder, MM Haque, MH Shohan… - Heliyon, 2024 - cell.com
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 …

Prediction and forecast of pre-monsoon and post-monsoon groundwater level: using deep learning and statistical modelling

A Kochhar, H Singh, S Sahoo, PK Litoria… - Modeling Earth Systems …, 2022 - Springer
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 …

Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a …

SE Sarvestani, N Hatam, M Seif, L Kasraian, FS Lari… - Scientific Reports, 2022 - nature.com
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 …