Evaluating land degradation and environmental hazards in North delta Egypt using machine learning and GIS approaches

Soil degradation constitutes a critical challenge, particularly in arid and semi-arid regions, where its impacts are most severe. To mitigate these impacts, comprehensive strategies must be developed to rehabilitate and restore soil functionality. The interplay of physical, chemical, and biological...

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Vydáno v:	Scientific reports Ročník 15; číslo 1; s. 37749 - 21
Hlavní autoři:	Moghanm, Farahat S., Ali, Raafat A., Abowaly, Mohamed E., Gharib, Mohamed S., Abbas, Ahmed M., Szűcs, Péter, Eid, Mohamed Hamdy, Elwakeel, Abdallah Elshawadfy, Elsayed, Salah, El-baki, Mohamed S. Abd, El-Shinawy, Doaa M., Moustapha, Moustapha E., El-Ramady, Hassan, Elmahdy, Shimaa M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 29.10.2025 Nature Publishing Group Nature Portfolio
Témata:	704/106 704/172 704/2151 Agricultural production Agriculture Arid zones Biodegradation Cadmium Cadmium risk Datasets Decision making Ecological risk assessment Environmental hazards Floodplains Food contamination & poisoning Food security Geographic information systems Heavy metals Heavy metals contamination Humanities and Social Sciences Land degradation Land pollution Land use Landsat Learning algorithms Machine learning multidisciplinary Neural networks Nile delta egypt Pollution Pollution index Pollution levels Pollution load Remote sensing Resource allocation Salinization Science Science (multidisciplinary) Semiarid zones Software utilities Soil compaction Soil contamination Soil degradation Soil pollution Soil quality Soil testing Sustainability Toxicity Trace elements Variance analysis Waterlogging Nile Delta Egypt Nile delta egypt Non-destructive soil analysis Cadmium risk Data-driven decision-making Soil compaction Land pollution Heavy metals contamination Artificial intelligence Ecological risk assessment
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
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