Global Potato Production Forecasting Based on Time Series Analysis and Advanced Waterwheel Plant Optimization Algorithm

The cultivation of potatoes is one of the most important parts of the world’s agricultural system, so forecasting methods that can precisely predict the direction of production are needed. We focus on the area of optimization techniques herein in this study and develop a particular use of metaheuris...

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Bibliographic Details
Published in:	Potato research Vol. 67; no. 4; pp. 1965 - 2000
Main Authors:	Alhussan, Amel Ali, Khafaga, Doaa Sami, Abotaleb, Mostafa, Mishra, Pradeep, El-Kenawy, El-Sayed M.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.12.2024 Springer
Subjects:	Agriculture Algorithms Analysis Biomedical and Life Sciences data collection Forecasts and trends Life Sciences Machine learning Mathematical optimization Plant Genetics and Genomics Plant Sciences Plant Systematics/Taxonomy/Biogeography Potatoes system optimization time series analysis Vegetable industry Waterwheel Plant Algorithm Feature selection Statistical analysis Metaheuristic search ARIMA Optimization
ISSN:	0014-3065, 1871-4528
Online Access:	Get full text
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