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001-es BibID:	BIBFORM098428
035-os BibID:	(WOS)000727509800001 (Scopus)85119625093
Első szerző:	Kiss Nikolett Éva (Környezetgazdálkodási agrármérnök)
Cím:	Assessment of Composted Pelletized Poultry Litter as an Alternative to Chemical Fertilizers Based on the Environmental Impact of Their Production / Kiss Nikolett Éva, Tamás János, Szőllősi Nikolett, Gorliczay Edit, Nagy Attila
Dátum:	2021
ISSN:	2077-0472
Megjegyzések:	Reducing the use of chemical fertilizers in agriculture is one of the EU Green Deal's priorities. Since poultry production is increasing worldwide, stabilized poultry litter such as composted pelletized poultry litter (CPPL) is an alternative fertilizer option. On the contrary, compared to chemical fertilizers, the environmental impacts of composted products have not been adequately studied, and no data are currently available for CPPL produced by a closed composting system, such as the Hosoya system. The aim of this research was to assess the role of CPPL as a potential alternative for chemical fertilizer by evaluating the environmental impact of CPPL production via the Hosoya system using common chemical fertilizers. Based on life cycle assessment (LCA), the environmental impact (11 impact categories) was determined for the production of 1 kg of fertilizer, as well as for the production of 1 kg of active substances (nitrogen (N), phosphorus pentoxide (P2O5), and potassium chloride (K2O)) and the theoretical nutrient (NPK) supply of a 100 ha field with CPPL and several chemical fertilizer options. The production of CPPL per kilogram was smaller than that of the chemical fertilizers; however, the environmental impact of chemical fertilizer production per kilogram of active substance (N, P2O5, or K2O) was lower for most impact categories, because the active substance was available at higher concentrations in said chemical fertilizers. In contrast, the NPK supply of a 100 ha field by CPPL was found to possess a smaller environmental impact compared to several combinations of chemical fertilizers. In conclusion, CPPL demonstrated its suitability as an alternative to chemical fertilizers.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk composted pelletized poultry litter life cycle assessment Hosoya composting chemical fertilizers EU Green Deal
Megjelenés:	Agriculture-Basel. - 11 : 11 (2021), p. 1-18. -
További szerzők:	Tamás János (1959-) (környezetgazdálkodási agrármérnök) Szőllősi Nikolett (1983-) (gazdasági agrármérnök) Gorliczay Edit (1991-) (környezetgazdálkodási agrármérnök) Nagy Attila (1982-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:	EFOP-3.6.3-VEKOP-16-2017-00008 EFOP GINOP-2.2.1.-15-2017- 00043 GINOP
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001-es BibID:	BIBFORM136576
Első szerző:	Nxumalo, Gift (Mezőgazdasági vízgazdálkodási mérnök, PhD student)
Cím:	GIS and Remote Sensing Applications for Assessing Soil Contamination in South African Agriculture: A Machine Learning-Enhanced Scoping Review / Gift Siphiwe Nxumalo, Tondani Sanah Ramabulana, Attila Nagy
Dátum:	2026
ISSN:	2077-0472
Megjegyzések:	Soil contamination in South African agriculture poses escalating threats to food security and ecosystem integrity, yet the geospatial and machine learning evidence base addressing this problem has never been systematically synthesised. This scoping review, conducted within the PRISMA-ScR framework, applied SVM-assisted screening to 2000 retrieved records, yielding a final corpus of 228 eligible studies published from 2003 to 2025. To characterise temporal, thematic, and geographic patterns in the corpus, we applied machine learning-assisted topic modelling (LDA, k = 7), logistic growth modelling, keyword cooccurrence network analysis, and technology-contaminant evidence gap matrices. Remote sensing was the dominant methodology throughout the review period (n = 142; 62.3% of studies), with machine learning rising to the highest adoption rank from approximately 2020 onwards. Logistic modelling estimated a carrying capacity of K = 292.3 (95% CI: 269-324) studies and an inflexion year of 2020.2 (95% CI: 2019.4-2021.1), projecting 90% saturation by 2028. Research effort was highly concentrated in KwaZulu-Natal and the Eastern Cape, while Pesticides/Herbicides and acid mine drainage each comprised only three corpus studies. Deep learning registered zero entries across all cells of both the technology-contaminant and technology-province evidence matrices. Targeted investment in field validation, hyperspectral and deep learning deployment for underrepresented contaminants, and interpretable modelling for regulatory defensibility are identified as priority actions for the next research cycle.
Tárgyszavak:	Agrártudományok Környezettudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk soil contamination remote sensing GIS machine learning scoping review South Africa evidence gap analysis topic modeling
Megjelenés:	Agriculture. - 16 : 7 (2026), p. 1-36. -
További szerzők:	Ramabulana, Tondani Sanah Nagy Attila (1982-) (környezetgazdálkodási agrármérnök)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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001-es BibID:	BIBFORM123451
035-os BibID:	(WoS)001305481400001 (Scopus)85202679806
Első szerző:	Nxumalo, Gift (Mezőgazdasági vízgazdálkodási mérnök, PhD student)
Cím:	Modelling Soil Moisture Content with Hydrus 2D in aContinental Climate for Effective Maize Irrigation Planning / Nxumalo Gift Siphiwe, Tamás Magyar, János Tamás, Attila Nagy
Dátum:	2024
ISSN:	2077-0472
Megjegyzések:	In light of climate change and limited water resources, optimizing water usage in agricultureis crucial. This study models water productivity to help regional planners address these challenges.We integrate CROPWAT-based reference evapotranspiration (ETo) with Sentinel 2 data to calculatedaily evapotranspiration and water needs for maize using soil and climate data from 2021 to 2023.The HYDRUS model predicted volumetric soil moisture content, validated against observed data. A2D hydrodynamic model within HYDRUS simulated temporal and spatial variations in soil waterdistribution for maize at a non-irrigated site in Hungary. The model used soil physical propertiesand crop evapotranspiration rates as inputs, covering crop development stages from planting toharvest. The model showed good performance, with R² values of 0.65 (10 cm) and 0.81 (60 cm) in 2021,0.51 (10 cm)and 0.50 (60 cm) in 2022, and 0.38 (10 cm) and 0.72 (60 cm) in 2023. RMSE and NRMSEvalues indicated reliability. The model revealed water deficits and proposed optimal irrigationschedules to maintain soil moisture between 32.2 and 17.51 V/V%. This integrated approach offers areliable tool for monitoring soil moisture and developing efficient irrigation systems, aiding maizeproduction`s adaptation to climate change
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk HYDRUS hydrodynamic modeling soil moisture monitoring evapotranspiration maize irrigation
Megjelenés:	Agriculture-Basel. - 14 : 8 (2024), p. 1-23. -
További szerzők:	Magyar Tamás (1987-) (környezetmérnök) Tamás János (1959-) (környezetgazdálkodási agrármérnök) Nagy Attila (1982-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
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