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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
A Path to Agricultural Fertilizer Non-Point
Source Pollution Control Enabled
by Big Data and Machine Learning
1
School of Management, Lanzhou University, Lanzhou 730000, China
Submission date: 2025-01-24
Final revision date: 2025-05-08
Acceptance date: 2025-09-07
Online publication date: 2025-12-01
KEYWORDS
agricultural fertilizernon-point source pollutionprecision fertilizationgreen fertilizerpollution spread predictionecological restoration
TOPICS
ABSTRACT
This study aims to evaluate the treatment effect of agricultural fertilizer non-point source
pollution and propose corresponding treatment strategies. The study selected typical agricultural areas
in northern China and collected multi-source data, including soil, meteorology, crop growth,
and fertilizer application. Through big data and machine learning methods, combined with precision
fertilization, green fertilizer promotion, irrigation management, and ecological restoration measures,
pollution source analysis, pollution diffusion prediction, and risk assessment were carried out. After
the implementation of the treatment measures, the nitrogen and phosphorus content in the soil was
significantly reduced, and the concentration of pollutants in water and soil also dropped significantly.
Crop yields increased after implementation, verifying the feasibility and effectiveness of the treatment
measures. The results show that the combined application of precision fertilization and green fertilizers
effectively reduced the pollution risk caused by excessive fertilizer application, and achieved different
degrees of treatment effects in different regions. In the future, with the advancement of remote sensing
technology, Internet of Things technology, and data analysis algorithms, the treatment of agricultural
non-point source pollution will be further improved.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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CITATIONS (1):
1.
An Analysis of the Impact of High-Quality Urban Development on Non-Point Source Pollution in the Chenghai Lake Drainage Basin Based on Multi-Source Big Data
Mingbiao Chen, Xiong He
Land
Mingbiao Chen, Xiong He
Land
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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