Via national lockdowns, the COVID-19 pandemic disrupted the production and distribution of foodstuffs worldwide, including rice (Oryza sativa L.) production, affecting the prices in India’s agroecosystems and markets. The present study was performed to assess the impact of the COVID-19 national lockdown on rice prices in India, and to develop statistical machine learning models to forecast price changes under similar crisis scenarios. To estimate the rice prices under COVID-19, the general time series models, such as the autoregressive integrated moving average (ARIMA) model, the artificial neural network (ANN) model, and the extreme learning machine (ELM) model, were applied. The results obtained using the ARIMA intervention model revealed...
Forecasting of rice area, production, and productivity of Odisha was made from the historical data o...
Analysis of the rise in prices for consumer goods is a state’s priority task. The state assumes the ...
In the present study Iran's rice imports trend is forecasted, using artificial neural networks and e...
Not AvailableThis study’s objective was to assess the impact of the COVID-19 pandemic on tomato supp...
Paddy and Wheat are the major food crops in Karnataka. Paddy is grown in 27 districts of Karnataka a...
Since rice is a staple food in Malaysia, its price fluctuations pose risks to the producers, supplie...
The increasing population in Indonesia is challenging rice production to feed more people while rice...
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region...
Forecasts of food prices are intended to be useful for farmers, policymakers and agribusiness indust...
Purpose. This study highlights the specific and accurate methods for forecasting prices of commonly ...
Because of global climate change, lack of arable land, and rapid population growth, the supplies of ...
The paper investigates the trend, seasonal and cyclic al variations of retail and wholesale prices o...
Prediction of well-grounded market information, particularly short-term forecast of prices of agricu...
BackgroundPrice forecasting of perishable crop like vegetables has importance implications to the fa...
Rice is the staple food for about half of the world's population and mills are the essential process...
Forecasting of rice area, production, and productivity of Odisha was made from the historical data o...
Analysis of the rise in prices for consumer goods is a state’s priority task. The state assumes the ...
In the present study Iran's rice imports trend is forecasted, using artificial neural networks and e...
Not AvailableThis study’s objective was to assess the impact of the COVID-19 pandemic on tomato supp...
Paddy and Wheat are the major food crops in Karnataka. Paddy is grown in 27 districts of Karnataka a...
Since rice is a staple food in Malaysia, its price fluctuations pose risks to the producers, supplie...
The increasing population in Indonesia is challenging rice production to feed more people while rice...
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region...
Forecasts of food prices are intended to be useful for farmers, policymakers and agribusiness indust...
Purpose. This study highlights the specific and accurate methods for forecasting prices of commonly ...
Because of global climate change, lack of arable land, and rapid population growth, the supplies of ...
The paper investigates the trend, seasonal and cyclic al variations of retail and wholesale prices o...
Prediction of well-grounded market information, particularly short-term forecast of prices of agricu...
BackgroundPrice forecasting of perishable crop like vegetables has importance implications to the fa...
Rice is the staple food for about half of the world's population and mills are the essential process...
Forecasting of rice area, production, and productivity of Odisha was made from the historical data o...
Analysis of the rise in prices for consumer goods is a state’s priority task. The state assumes the ...
In the present study Iran's rice imports trend is forecasted, using artificial neural networks and e...