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| Brief review of papers published in Journal of Agro-Environment Science in 2025 |
| Received:February 05, 2026 Revised:February 06, 2026 |
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| KeyWord:emerging contaminants;heavy metals;non-point source pollution;global change;artificial intelligence(AI) |
| Author Name | Affiliation | | CAI Zucong | School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China |
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| Abstract: |
| Based on the papers published in the Journal of Agro-Environment Science in 2025, research in agricultural environmental science in China is shifting its focus from soil heavy metal pollution and remediation to emerging contaminants such as microplastics, antibiotics and antibiotic resistance genes, and fluorides. The journal 's publications reveal the current status of microplastic and antibiotic pollution in certain aquatic products in China. However, survey data on the contamination of crop products by these emerging pollutants remain unavailable, which hampers the risk assessment of such pollutants in agricultural production environments. The application of artificial intelligence（AI）is gaining attention in both research and practical applications within agricultural environmental science. In 2025, the journal established a special column titled "Machine Learning Technologies Empowering Agricultural Environmental Science Research". Nevertheless, the limited availability and suboptimal quality of data resources in this field may constrain the effectiveness of AI applications. |
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