Artificial intelligence-enabled monitoring of pesticide contamination in agricultural water systems: a comprehensive review of intelligent sensing technologies for water quality surveillance and environmental risk assessment

Hayat Khan, Sani Isnain, Muhammad Anas, Abdullah H. Alshahri, Najam U. Saqib, R. Nawaz, Javed Iqbal, Waseem Ahmed Khattak, Khizar Hayat Khan

Open source

DOI
10.1039/d6ra07513d
Published
2026
Container
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Open access
unknown

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BibTeX

@article{allodium:10.1039/d6ra07513d,
  title = {Artificial intelligence-enabled monitoring of pesticide contamination in agricultural water systems: a comprehensive review of intelligent sensing technologies for water quality surveillance and environmental risk assessment},
  author = {Hayat Khan and Sani Isnain and Muhammad Anas and Abdullah H. Alshahri and Najam U. Saqib and R. Nawaz and Javed Iqbal and Waseem Ahmed Khattak and Khizar Hayat Khan},
  year = {2026},
  journal = {RSC Advances},
  doi = {10.1039/d6ra07513d},
  url = {https://doi.org/10.1039/d6ra07513d}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-enabled monitoring of pesticide contamination in agricultural water systems: a comprehensive review of intelligent sensing technologies for water quality surveillance and environmental risk assessment
AU  - Hayat Khan
AU  - Sani Isnain
AU  - Muhammad Anas
AU  - Abdullah H. Alshahri
AU  - Najam U. Saqib
AU  - R. Nawaz
AU  - Javed Iqbal
AU  - Waseem Ahmed Khattak
AU  - Khizar Hayat Khan
PY  - 2026
JO  - RSC Advances
DO  - 10.1039/d6ra07513d
UR  - https://doi.org/10.1039/d6ra07513d
ER  - 

APA

Khan, H., Isnain, S., Anas, M., Alshahri, A. H., Saqib, N. U., Nawaz, R., Iqbal, J., Khattak, W. A., & Khan, K. H. (2026). Artificial intelligence-enabled monitoring of pesticide contamination in agricultural water systems: a comprehensive review of intelligent sensing technologies for water quality surveillance and environmental risk assessment. RSC Advances. https://doi.org/10.1039/d6ra07513d

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