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Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods

Fida Hussain Orcid Logo, Shakeel Ahmed Orcid Logo, Syed Muhammad Zaigham Abbas Naqvi Orcid Logo, Muhammad Awais, Yanyan Zhang, Hao Zhang, Vijaya Raghavan Orcid Logo, Yiheng Zang, Guoqing Zhao Orcid Logo, Jiandong Hu Orcid Logo

Agriculture, Volume: 15, Issue: 5, Start page: 531

Swansea University Author: Guoqing Zhao Orcid Logo

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DOI (Published version): 10.3390/agriculture15050531

Abstract

Agricultural non-point source pollution (ANPSP) significantly affects worldwide water quality, soil integrity, and ecosystems. Primary factors are nutrient runoff, pesticide leaching, and inadequate livestock waste management. Nonetheless, a thorough assessment of ANPSP sources and efficient control...

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Published in: Agriculture
ISSN: 2077-0472
Published: MDPI AG 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa68961
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last_indexed 2025-03-12T05:35:39Z
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This research delineates the origins and present state of ANPSP, emphasizing its influence on agricultural practices, livestock, and rural waste management. It assesses current evaluation models, encompassing field- and watershed-scale methodologies, and investigates novel technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) that possess the potential to enhance pollution monitoring and predictive precision. The research examines strategies designed to alleviate ANPSP, such as sustainable agricultural practices, fertilizer reduction, and waste management technology, highlighting the necessity for integrated, real-time monitoring systems. 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spelling 2025-03-11T15:55:55.9208806 v2 68961 2025-02-25 Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods 2ff29aa347835abe2af6d98fa89064b4 0009-0003-9537-9016 Guoqing Zhao Guoqing Zhao true false 2025-02-25 CBAE Agricultural non-point source pollution (ANPSP) significantly affects worldwide water quality, soil integrity, and ecosystems. Primary factors are nutrient runoff, pesticide leaching, and inadequate livestock waste management. Nonetheless, a thorough assessment of ANPSP sources and efficient control techniques is still lacking. This research delineates the origins and present state of ANPSP, emphasizing its influence on agricultural practices, livestock, and rural waste management. It assesses current evaluation models, encompassing field- and watershed-scale methodologies, and investigates novel technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) that possess the potential to enhance pollution monitoring and predictive precision. The research examines strategies designed to alleviate ANPSP, such as sustainable agricultural practices, fertilizer reduction, and waste management technology, highlighting the necessity for integrated, real-time monitoring systems. This report presents a comprehensive analysis of current tactics, finds significant gaps, and offers recommendations for enhancing both research and policy initiatives to tackle ANPSP and foster sustainable farming practices. Journal Article Agriculture 15 5 531 MDPI AG 2077-0472 28 2 2025 2025-02-28 10.3390/agriculture15050531 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Another institution paid the OA fee This work was supported by the 14th Five-Year National Key Research and Development Program (2024YFD17000802) and by the Major Science and Technology projects of Henan Province (221100320200). It was also supported by the Henan Center for Outstanding Overseas Scientists (GZS2021007)and the State Key Laboratory of Wheat and Maize Crop Science (39990120). 2025-03-11T15:55:55.9208806 2025-02-25T08:35:19.9870709 Faculty of Humanities and Social Sciences School of Management - Business Management Fida Hussain 0009-0003-4485-6724 1 Shakeel Ahmed 0000-0003-1317-6956 2 Syed Muhammad Zaigham Abbas Naqvi 0000-0002-8680-5357 3 Muhammad Awais 4 Yanyan Zhang 5 Hao Zhang 6 Vijaya Raghavan 0000-0003-1819-6710 7 Yiheng Zang 8 Guoqing Zhao 0009-0003-9537-9016 9 Jiandong Hu 0000-0002-1944-2840 10 68961__33787__c7950f82053e4262acbbb144b6d42b7b.pdf 68961.VoR.pdf 2025-03-11T15:53:32.9785231 Output 4117920 application/pdf Version of Record true © 2025 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. true eng https://creativecommons.org/ licenses/by/4.0/
title Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
spellingShingle Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
Guoqing Zhao
title_short Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
title_full Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
title_fullStr Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
title_full_unstemmed Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
title_sort Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods
author_id_str_mv 2ff29aa347835abe2af6d98fa89064b4
author_id_fullname_str_mv 2ff29aa347835abe2af6d98fa89064b4_***_Guoqing Zhao
author Guoqing Zhao
author2 Fida Hussain
Shakeel Ahmed
Syed Muhammad Zaigham Abbas Naqvi
Muhammad Awais
Yanyan Zhang
Hao Zhang
Vijaya Raghavan
Yiheng Zang
Guoqing Zhao
Jiandong Hu
format Journal article
container_title Agriculture
container_volume 15
container_issue 5
container_start_page 531
publishDate 2025
institution Swansea University
issn 2077-0472
doi_str_mv 10.3390/agriculture15050531
publisher MDPI AG
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description Agricultural non-point source pollution (ANPSP) significantly affects worldwide water quality, soil integrity, and ecosystems. Primary factors are nutrient runoff, pesticide leaching, and inadequate livestock waste management. Nonetheless, a thorough assessment of ANPSP sources and efficient control techniques is still lacking. This research delineates the origins and present state of ANPSP, emphasizing its influence on agricultural practices, livestock, and rural waste management. It assesses current evaluation models, encompassing field- and watershed-scale methodologies, and investigates novel technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) that possess the potential to enhance pollution monitoring and predictive precision. The research examines strategies designed to alleviate ANPSP, such as sustainable agricultural practices, fertilizer reduction, and waste management technology, highlighting the necessity for integrated, real-time monitoring systems. This report presents a comprehensive analysis of current tactics, finds significant gaps, and offers recommendations for enhancing both research and policy initiatives to tackle ANPSP and foster sustainable farming practices.
published_date 2025-02-28T05:25:42Z
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