Decoupling Driving Factors and High‐Precision Prediction of Food Security in Central Asia Based on a Coupled PLS‐SEM and PSO‐LSSVM Model DOI Creative Commons
Qingtao Ma, Yonghui Yang, Zhijie Bai

и другие.

Food and Energy Security, Год журнала: 2025, Номер 14(3)

Опубликована: Май 1, 2025

ABSTRACT Grain supply and demand affect regional food security; however, the drivers are often unclear, making precise forecasting policymaking challenging. This study used Central Asia as a case to integrate Partial Least Squares Structural Equation Modeling (PLS‐SEM) with particle swarm optimization least squares support vector machine (PSO‐LSSVM) separately identify of grain enhance prediction accuracy. We analyzed interannual variations in production, import/export volumes, consumption, inventory wheat, rice, barley, maize, other grains (1992–2019). then decoupled factors affecting wheat production consumption using PLS‐SEM made predictions by integrating PSO‐LSSVM. The results showed that across Asia, primarily driven declined later recovered, turning point between 1995 1998. Kazakhstan exports 44% its whereas countries heavily depend on imports. In path coefficients ( r ) area yield total were 0.36 0.77, respectively, Kazakhstan, they 0.37 0.81, respectively. Climate cultivation indirectly through yield, influence area. Economic growth increased urban population decreased it. reduced = −0.23) but boosted economy 0.33), pattern was not observed Asia. coupling model PSO‐LSSVM enhanced accuracy reducing error 10.21% 32.8% Kazakhstan. offers novel approach decouple driving predicts crop yields regions limited data availability.

Язык: Английский

DETERMINATION OF PHYSICAL PARAMETERS OF PELLETED RICE SEEDS AND CALIBRATION OF DISCRETE ELEMENT SIMULATION PARAMETERS DOI

Qiaoping Ma,

Tongjie Li, Daping Xu

и другие.

INMATEH Agricultural Engineering, Год журнала: 2025, Номер unknown, С. 490 - 500

Опубликована: Апрель 11, 2025

The calibration of parameters for pelleted rice seeds (PR) is crucial enhancing research on PR-related machinery and executing high-speed precision hole sowing with unmanned aerial vehicles. This paper focuses determining the fundamental physical contact PR. A series tests were conducted, including Plackett-Burman test, steepest ascent Box-Behnken using stacking angle as primary variable. These led to identification optimal combinations simulation parameters. Specifically, coefficients rolling friction PR-PLA plate PR-PR measured at 0.137, while coefficient static was 0.336. study provides a reference calibrating seeding.

Язык: Английский

Процитировано

2
Decoupling Driving Factors and High‐Precision Prediction of Food Security in Central Asia Based on a Coupled PLS‐SEM and PSO‐LSSVM Model DOI Creative Commons
Qingtao Ma, Yonghui Yang, Zhijie Bai

и другие.

Food and Energy Security, Год журнала: 2025, Номер 14(3)

Опубликована: Май 1, 2025

ABSTRACT Grain supply and demand affect regional food security; however, the drivers are often unclear, making precise forecasting policymaking challenging. This study used Central Asia as a case to integrate Partial Least Squares Structural Equation Modeling (PLS‐SEM) with particle swarm optimization least squares support vector machine (PSO‐LSSVM) separately identify of grain enhance prediction accuracy. We analyzed interannual variations in production, import/export volumes, consumption, inventory wheat, rice, barley, maize, other grains (1992–2019). then decoupled factors affecting wheat production consumption using PLS‐SEM made predictions by integrating PSO‐LSSVM. The results showed that across Asia, primarily driven declined later recovered, turning point between 1995 1998. Kazakhstan exports 44% its whereas countries heavily depend on imports. In path coefficients ( r ) area yield total were 0.36 0.77, respectively, Kazakhstan, they 0.37 0.81, respectively. Climate cultivation indirectly through yield, influence area. Economic growth increased urban population decreased it. reduced = −0.23) but boosted economy 0.33), pattern was not observed Asia. coupling model PSO‐LSSVM enhanced accuracy reducing error 10.21% 32.8% Kazakhstan. offers novel approach decouple driving predicts crop yields regions limited data availability.

Язык: Английский

Процитировано

0