Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Дек. 12, 2024
Язык: Английский
Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Дек. 12, 2024
Язык: Английский
Food and Energy Security, Год журнала: 2025, Номер 14(2)
Опубликована: Март 1, 2025
ABSTRACT Growing concern over food security has drawn worldwide scholarly attention. Addressing issues highlights the vulnerability of agricultural yield to complexity agriculture inputs. Therefore, this study considers intricacies cultivation inputs and their effect on cereal production across 20 developing Asian countries from 1990 2022. First, advanced machine learning algorithms are employed investigate combined impact farming Product Complexity Index yields. Second, Granger causality test was used uncover direction between exogenous variables. Both causal inference neural network (CINN) deep (DNN) models show a rapid initial decrease in loss during early epochs, followed by more gradual decline, indicating effective convergence. Notably, CINN model consistently starts with lower compared DNN model, suggesting superior performance minimizing training loss. These techniques have successfully predicted synergistic relationships, leading significant improvements forecasting. The results revealed feedback crop yields use fertilizer different lags. emphasize potential for targeted guidelines that harness interactions complexities application improve
Язык: Английский
Процитировано
1Research Square (Research Square), Год журнала: 2025, Номер unknown
Опубликована: Фев. 7, 2025
Язык: Английский
Процитировано
0Economics of Disasters and Climate Change, Год журнала: 2025, Номер unknown
Опубликована: Апрель 15, 2025
Язык: Английский
Процитировано
0Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Logistics, Год журнала: 2024, Номер 8(3), С. 78 - 78
Опубликована: Авг. 2, 2024
Background: The corn supply chain is vital for food security and economic stability regionally globally. This study integrates sustainable management with location optimization to address trade-offs from climate change, viability, environmental impact while assuming the constant social obligation inherent in structure. Methods: employs a mixed-integer programming (MIP) framework optimize facility locations North Dakota, including production zones as suppliers ethanol plants consumers. Primary objectives include cost minimization greenhouse gas reduction, enabling prioritization of or goals per organizational strategies regulations. approach ultimately maximizes resource utilization by ensuring efficient distribution practices. Results: case results highlight optimal selection 20 out 30 meet statewide plant demand efficiently. Using compressed natural (CNG) instead diesel could potentially save USD 2 million annually cut carbon emissions up 1148 thousand tons year, demonstrating meaningful progress toward sustainability within network. Conclusions: presented work offers systematic methodology designing chains various agricultural products, aligning broader goal promoting resilience systems.
Язык: Английский
Процитировано
1Results in Engineering, Год журнала: 2024, Номер unknown, С. 103665 - 103665
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
1Theoretical and Applied Climatology, Год журнала: 2024, Номер 156(1)
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
0Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Дек. 12, 2024
Язык: Английский
Процитировано
0