Biosecurity of agroecosystems under technogenic and environmental risks
Zhumadilova A. Zhigitova S. Turalina M. Kudriavytska A.
1 August 2025Polissia National University
Scientific Horizons
2025#28Issue 762 - 78 pp.
The study aimed to establish the relationship between technogenic and environmental factors affecting the biosecurity of agroecosystems in Ukraine, with the development of adaptive monitoring and risk mitigation strategies through the integration of digital technologies. The research methodology was based on an interdisciplinary approach combining ecotoxicological analysis, biogeochemical modelling, and spatiotemporal assessment of anthropogenic impacts using geographic information systems, satellite observation, and algorithmic risk prediction based on Artificial Intelligence and big data analytics. The application of machine learning methods, spectral pollution analysis, and multi-level agroecosystem mapping revealed hidden patterns of agri-landscape degradation, assessed their ecological resilience, and formulated adaptive approaches to environmental management to reduce biological risks. The findings indicated an elevated chemical load on Ukrainian agroecosystems, manifested in exceedances of maximum permissible concentrations for ammonia (2028 μg/m³ in air), nitrogen oxides (over 35 μg/m³), nitrates (over 50 mg/L in water), and pesticides (up to 0.05 mg/L). Humus content in chernozems decreased to 1.21.5%, accompanied by soil degradation. A correlational link was established between increased technogenic pressure and higher prevalence of oncological diseases, cardiovascular and respiratory pathologies, as well as reduced life expectancy (by 7-10 years) in highly polluted regions. Negative demographic trends were recorded, including rising child mortality, declining fertility, and increased environmentally driven migration. The results confirm the efficacy of digital technologies in enhancing the quality of monitoring, diagnostics, and risk management in agroecosystems undergoing transformational anthropogenic pressures.
agri-landscape degradation , artificial intelligence , biosphere , machine learning , risk management
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Kazakh National University of Water Management and Irrigation, 28 K. Satpayev Str, Taraz, 080000, Kazakhstan
National University of Life and Environmental Sciences of Ukraine, 15 Heroiv Oborony Str, Kyiv, 03041, Ukraine
Kazakh National University of Water Management and Irrigation
National University of Life and Environmental Sciences of Ukraine
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