AI-enabled green agriculture cooperation between China and Pakistan: optimizing grain production and Supply chain sustainability
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| Format: | Recurso digital |
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2026
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| _version_ | 1866901272159846400 |
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| author | Ali Raza Lu Hongliang Tingyu Yang Nian Wei |
| author_facet | Ali Raza Lu Hongliang Tingyu Yang Nian Wei |
| contents | <p>The world faces some of the biggest problems, such as food insecurity, environmental degradation, and resource wastage, which can only be solved through sustainable agricultural practices. This has encouraged the green agriculture cooperation between China and Pakistan (ACCP), emphasising the integration of advanced technologies. In this regard, artificial Intelligence (AI) and green practices present a revolutionary approach to advancing sustainability in agriculture. This study proposes to assess the influence of AI capability (AIC), farmer green values (FGV), green innovative intentions (GIN), and energy-use reduction (ERD) towards the "adoption of green production" (AGP). Further, it evaluates the mediation of the sustainability of the supply chain (SCC) on these relationships and the moderation of eco-innovation (ENI) in the association between SCC and green production adoption. A quantitative research approach was applied, and the data was gathered via a survey questionnaire that was administered online through Qualtrics. The sample consisted of 294 farmers/ employees, working under ACCP projects and SEM was used for analysis. The study results showed that FGV, GIN and ERD have a significant impact on AGP (p < 0.05) while AIC was found to have an insignificant association with AGP (p > 0.05). Supply chain sustainability mediates these effects (p < 0.05), and ecoinnovation enhances the influence of sustainability on green production (p < 0.05). The study makes practical contributions by highlighting the need to integrate AI, sustainability practices, and ecoinnovation in agriculture. Thus, policymakers and agricultural firms can use these findings effectively to develop agendas promoting increased green production and international cooperation. The information presented provides a model for other areas interested in enhancing food yield while minimising adverse environmental impact through technology and new advancements.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19850988 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-enabled green agriculture cooperation between China and Pakistan: optimizing grain production and Supply chain sustainability Ali Raza Lu Hongliang Tingyu Yang Nian Wei <p>The world faces some of the biggest problems, such as food insecurity, environmental degradation, and resource wastage, which can only be solved through sustainable agricultural practices. This has encouraged the green agriculture cooperation between China and Pakistan (ACCP), emphasising the integration of advanced technologies. In this regard, artificial Intelligence (AI) and green practices present a revolutionary approach to advancing sustainability in agriculture. This study proposes to assess the influence of AI capability (AIC), farmer green values (FGV), green innovative intentions (GIN), and energy-use reduction (ERD) towards the "adoption of green production" (AGP). Further, it evaluates the mediation of the sustainability of the supply chain (SCC) on these relationships and the moderation of eco-innovation (ENI) in the association between SCC and green production adoption. A quantitative research approach was applied, and the data was gathered via a survey questionnaire that was administered online through Qualtrics. The sample consisted of 294 farmers/ employees, working under ACCP projects and SEM was used for analysis. The study results showed that FGV, GIN and ERD have a significant impact on AGP (p < 0.05) while AIC was found to have an insignificant association with AGP (p > 0.05). Supply chain sustainability mediates these effects (p < 0.05), and ecoinnovation enhances the influence of sustainability on green production (p < 0.05). The study makes practical contributions by highlighting the need to integrate AI, sustainability practices, and ecoinnovation in agriculture. Thus, policymakers and agricultural firms can use these findings effectively to develop agendas promoting increased green production and international cooperation. The information presented provides a model for other areas interested in enhancing food yield while minimising adverse environmental impact through technology and new advancements.</p> |
| title | AI-enabled green agriculture cooperation between China and Pakistan: optimizing grain production and Supply chain sustainability |
| url | https://doi.org/10.5281/zenodo.19850988 |