Modeling and Forecasting of Potato Production in Rajasthan and their Yield Sustainability DOI Open Access

Aashish,

Kamini Yadav,

Lokesh Kumar

et al.

Journal of Scientific Research and Reports, Journal Year: 2024, Volume and Issue: 30(12), P. 756 - 770

Published: Dec. 28, 2024

This study examined trends, sustainability, and forecasted potato area, production, productivity in India Rajasthan from 1970 to 2030. Annual production data was analyzed using an autoregressive integrated moving average (ARIMA) model. The models were trained 2020 assessed with a validation set 2021 2023. In the training set, box exhibited optimal performance. ARIMA yielded minimal predicted errors. leading project till 2023, 260.50 thousand tonnes 61,250.50 tonnes, respectively. By 2030, are projected yield 301.31 63,318.26 predictions can aid food security planning agricultural policy formulation region. exhibit significant sustainability for period 1998

Language: Английский

Forecasting Production of Potato for a Sustainable Future: Global Market Analysis DOI

Pradeep Mishra,

Amel Ali Alhussan, Doaa Sami Khafaga

et al.

Potato Research, Journal Year: 2024, Volume and Issue: 67(4), P. 1671 - 1690

Published: March 21, 2024

Language: Английский

Citations

15
Potato Consumption Forecasting Based on a Hybrid Stacked Deep Learning Model DOI Creative Commons

Marwa Eed,

Amel Ali Alhussan,

Al-Seyday T. Qenawy

et al.

Potato Research, Journal Year: 2024, Volume and Issue: unknown

Published: July 15, 2024

Abstract Potato consumption forecasting is crucial for several stakeholders in the food market. Due to market flexibility, farmers can manipulate volumes planted a given type of produce reduce costs and improve revenue. Consequently, it means that establishing optimal inventories or inventory levels possible critical sense sellers avoid either inadequate excessive may lead wastage. In addition, governments predict future deficits put measures place guarantee they have steady supply some time, especially regions involve use potatoes. Increased potato-eating anticipation has advantages buyers The experiments this study employed various machine learning deep (DL) models comprise stacked long short-term memory (Stacked LSTM), convolutional neural network (CNN), random forest (RF), support vector regressor (SVR), K -nearest neighbour (KNN), bagging (BR), dummy (DR). During study, was discovered Stacked LSTM model had superior performance compared other models. achieved mean squared error (MSE) 0.0081, absolute (MAE) 0.0801, median (MedAE) 0.0755, coefficient determination ( R 2 ) value 98.90%. These results demonstrate our algorithms reliably forecast global potato until year 2030.

Language: Английский

Citations

11
N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting DOI
G. H. Harish Nayak,

Md Wasi Alam,

G. Avinash

et al.

Potato Research, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 12, 2024

Language: Английский

Citations

5
Global Potato Production Forecasting Based on Time Series Analysis and Advanced Waterwheel Plant Optimization Algorithm DOI
Amel Ali Alhussan, Doaa Sami Khafaga, Mostafa Abotaleb

et al.

Potato Research, Journal Year: 2024, Volume and Issue: 67(4), P. 1965 - 2000

Published: May 8, 2024

Language: Английский

Citations

4
Comparing Forecasting Models for Potato Production: Evaluating T-ARMA, ARIMA-ARCH, Weibull and Score-Driven Approaches in Major Global Producers DOI
Abdullah Mohammad Ghazi Al Khatib, Bayan Mohamad Alshaib, Neha Mishra

et al.

Potato Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

0
A Random Forest-Convolutional Neural Network Deep Learning Model for Predicting the Wholesale Price Index of Potato in India DOI
Soumik Ray, Tufleuddin Biswas, Walid Emam

et al.

Potato Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 24, 2024

Language: Английский

Citations

3
Sodium tripolyphosphate is a non-toxic and economic alternative to glutaraldehyde for preparation of L-asparaginase CLEAs to reduce acrylamide in potato fries DOI
Saaylee Danait‐Nabar,

Krushna Gharat,

Rekha S. Singhal

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 472, P. 142894 - 142894

Published: Jan. 16, 2025

Language: Английский

Citations

0
Modeling and Forecasting of Potato Production in Rajasthan and their Yield Sustainability DOI Open Access

Aashish,

Kamini Yadav,

Lokesh Kumar

et al.

Journal of Scientific Research and Reports, Journal Year: 2024, Volume and Issue: 30(12), P. 756 - 770

Published: Dec. 28, 2024

This study examined trends, sustainability, and forecasted potato area, production, productivity in India Rajasthan from 1970 to 2030. Annual production data was analyzed using an autoregressive integrated moving average (ARIMA) model. The models were trained 2020 assessed with a validation set 2021 2023. In the training set, box exhibited optimal performance. ARIMA yielded minimal predicted errors. leading project till 2023, 260.50 thousand tonnes 61,250.50 tonnes, respectively. By 2030, are projected yield 301.31 63,318.26 predictions can aid food security planning agricultural policy formulation region. exhibit significant sustainability for period 1998

Language: Английский

Citations

0