Abdel-Fattah, M.K., Mokhtar, A. and Abdo, A.I. (2021) Application of Neural Network and Time Series Modeling to Study the Suitability of Drain Water Quality for Irrigation: A Case Study from Egypt. Environmental Science and Pollution Research, 28, 898-914.
https://doi.org/10.1007/s11356-020-10543-3

has been cited by the following article:

• TITLE: Forecasting of Cultivated Area in Egyptian Lands Using a Time Series Model for Sustainable Development

  AUTHORS: Zainab Shawky El-Khalifa, Hoda Farouk Zahran

  KEYWORDS: Cultivated Area, Forecasting, ARIMA Model, Egyptian Lands, Sustainable Development

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.12 No.6, June 9, 2022

  ABSTRACT: The cultivated area is an important component of land resources that has a direct impact on food security. Egyptian cultivated area was estimated to be 3.86 million hectares in 2020. Recently, there has been a decline in cultivated areas, which could be attributed to a number of factors, including climatic changes and urban sprawl, endangering Egyptian sustainable development. So, the aim of the current study was to forecast the values of cultivated areas in Egypt for the next five years using the ARIMA model based on data from 1990 to 2020. The model predicted a decrease in cultivated area in coming years of about 3.06, 3.19, 3.084, 3.082 and 3.21 million hectares, respectively, according to the results. This forecasting will aid the country’s policy development for future land using planning and agricultural production.