Predicting cropland and fertilizer consumption models and their effect on crop production in interior Jiangsu Province: a distributed autoregressive lag method

Predicting cropland and fertilizer consumption models and their effect on crop production in interior Jiangsu Province: a distributed autoregressive lag method

Monitoring crop production has a direct effect on national and global economies and plays a significant role in food security. This study creates a possible autoregressive integrated moving average (ARIMA) model that can estimate the past (2010 to 2022) and future trends (2023 to 2035) for cultivate...

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Bibliographic Details
Main Authors: Farheen Solangi, Xingye Zhu, Kashif Ali Solangi, Shahneela Khaskhali, Haijun Yan
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Food & Agriculture
Subjects:
ARIMA model
cropland
fertilizer
rice
Jiangsu province
agricultural economy
Online Access:https://www.tandfonline.com/doi/10.1080/23311932.2024.2434947
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https://www.tandfonline.com/doi/10.1080/23311932.2024.2434947

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