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1.

001-es BibID:BIBFORM117451
035-os BibID:(cikkazonosító)100323 (WoS)001134137300001 (Scopus)85179467649
Első szerző:Altouma, Ahmed
Cím:An environmental impact assessment of Saudi Arabia's vision 2030 for sustainable urban development : a policy perspective on greenhouse gas emissions / Ahmed Altouma, Bashar Bashir, Behnam Ata, Akasairi Ocwa, Abdullah Alsalman, Endre Harsányi, Safwan Mohammed
Dátum:2024
ISSN:2665-9727
Megjegyzések:Globally, countries are legitimizing actions to curtail the malevolent impacts of environmental degradation. This study examined the interaction between CO2 emissions and selected economic variables within the framework of Saudi Arabia's Vision 2030. The Autoregressive distributed lag model (ARDL) was used to analyze the long-run relationships and short-run dynamics between studied variables (1970-2020). The Mann-Kendall (MK) test revealed a significant (p < 0.05) positive increase of GHGs emissions from all sectors across the KSA. The highest increased were captured at the electricity and heat by 7345454.47 tonnes of carbon dioxide-equivalents/year (p < 0.05). On the hand, the ARDL model indicates that GDP, agriculture, industry, services, and oil production have short-term effects on the environment through CO2 emissions. Therefore, GDP, agriculture, services and oil production contribute to increases in CO2 emissions. While industry contributes to decrease in CO2 emissions. The ARDL model also showed that an increase in GDP of 1 percent increases CO2 emissions by 3.46 percent, while an increase in oil production of 1 percent increases CO2 emissions by 4.04 percent. However, an increase in industry of 1 percent decreases CO2 emissions by 7.25 percent. The output of this research has a policy implication for addressing environmental concerns in the country.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Net-zero emissions
Saudi vision
ARDL
Sustainable societies
Climate change
Megjelenés:Environmental and Sustainability Indicators. - 21 (2024), p. 1-13. -
További szerzők:Bashir, Bashar Ata Behnam (1991-) (Geográfus PhD hallgató) Ocwa, Akasairi (1987-) (Crop scientist) Alsalman, Abdullah Harsányi Endre (1976-) (agrármérnök) Mohammed Safwan (1985-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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2.

001-es BibID:BIBFORM111452
035-os BibID:(cikkazonosító)1297 (Scopus)85160411163 (WoS)000994795300001
Első szerző:Harsányi Endre (agrármérnök)
Cím:Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe / Endre Harsányi, Bashar Bashir, Sana Arshad, Akasairi Ocwa, Attila Vad, Abdullah Alsalman, István Bácskai, Tamás Rátonyi, Omar Hijazi, Adrienn Széles, Safwan Mohammed
Dátum:2023
ISSN:2073-4395
Megjegyzések:Artificial intelligence, specifically machine learning (ML), serves as a valuable tool for decision support in crop management under ongoing climate change. However, ML implementation to predict maize yield is still limited in Central Europe, especially in Hungary. In this context, we assessed the performance of four ML algorithms (Bagging (BG), Decision Table (DT), Random Forest (RF) and Artificial Neural Network-Multi Layer Perceptron (ANN-MLP)) in predicting maize yield based on four different input scenarios. The collected data included both agricultural data (production (PROD) (ton) and maize cropped area (AREA) (ha)) and climate data (annual mean temperature ?C (Tmean), precipitation (PRCP) (mm), rainy days (RD), frosty days (FD) and hot days (HD)). This research adopted four scenarios, as follows: SC1: AREA+ PROD+ Tmean+ PRCP+ RD+ FD+ HD; SC2: AREA+ PROD; SC3: Tmean+ PRCP+ RD+ FD+ HD; and SC4: AREA+ PROD+ Tmean+ PRCP. In the training stage, ANN-MLP-SC1 and ANN-MLP-SC4 outperformed other ML algorithms; the correlation coefficient (r) was 0.99 for both, while the root mean squared errors (RMSEs) were 107.9 (ANN-MLP-SC1) and 110.7 (ANN-MLP-SC4). In the testing phase, the ANN-MLP-SC4 had the highest r value (0.96), followed by ANN-MLP-SC1 (0.94) and RF-SC2 (0.94). The 10-fold cross validation also revealed that the ANN-MLP-SC4 and ANN-MLP-SC1 have the highest performance. We further evaluated the performance of the ANN-MLP-SC4 in predicting maize yield on a regional scale (Budapest). The ANN-MLP-SC4 succeeded in reaching a high-performance standard (r = 0.98, relative absolute error = 21.87%, root relative squared error = 20.4399% and RMSE = 423.23). This research promotes the use of ANN as an efficient tool for predicting maize yield, which could be highly beneficial for planners and decision makers in developing sustainable plans for crop management.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
maize yield
climate
multilayer perceptron
random forest
optimum model
Megjelenés:Agronomy-Basel. - 13 : 5 (2023), p. 1-22. -
További szerzők:Bashir, Bashar Arshad, Sana Ocwa, Akasairi (1987-) (Crop scientist) Vad Attila (1981-) (agrármérnök) Alsalman, Abdullah Bácskai István (1985-) (Okleveles gépészmérnök) Rátonyi Tamás (1967-) (agrármérnök) Hijazi, Omar Széles Adrienn (1980-) (okleveles agrármérnök) Mohammed Safwan (1985-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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3.

001-es BibID:BIBFORM114827
035-os BibID:(cikkazonosító)100312 (WoS)001105611200001 (Scopus)85174233743
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Assessment of the environmental kuznets curve within EU-27: Steps toward environmental sustainability (1990-2019) / Safwan Mohammed, Abid Rashid Gill, Kaushik Ghosal, Main Al-Dalahmeh, Karam Alsafadi, Szabó Szilárd, Judit Oláh, Ali Alkerdi, Akasairi Ocwa, Endre Harsanyi
Dátum:2024
ISSN:2666-4984
Megjegyzések:Reducing environmental pollution is a critical goal in global environmental economics and economic development. The European Union (EU) faces environmental challenges due to its development activities. Here we present a comprehensive approach to assess the impact of carbon dioxide (CO2) emissions, energy consumption (EC), population structure (POP), economy (GDP), and policies on the environment within the EU using the environmental Kuznets curve (EKC). Our research reveals that between 1990 and 2019, the EU-27 experienced an increase of +1.18 million tonnes of oil equivalent (Mtoe) per year in energy consumption (p < 0.05), while CO2 emissions decreased by 24.25 million tonnes (Mt) per year (p < 0.05). The highest reduction in CO2 emissions occurred in Germany (-7.52 Mt CO2 annually), and the lowest in Latvia (-0.087 Mt CO2 annually). The empirical EKC analysis shows an inverted-U shaped relationship between GDP and CO2 emissions in the EU-27. Specifically, a 1% increase in GDP results in a 0.705% increase in carbon emission, while a 1% increase in GDP(2) leads to a 0.062% reduction in environmental pollution in the long run (p < 0.01). These findings indicate that economic development within the EU has reached a stage where economic growth positively impacts the environment. Overall, this study provides insights into the effectiveness of environmental policies in mitigating degradation and promoting green growth in the EU 27 countries.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Climate change
Environmental management
Sustainable communities
Green growth
Megjelenés:Environmental Science and Ecotechnology. - 18 (2024), p. 1-13. -
További szerzők:Gill, Abid Rashid Ghosal, Kaushik Al-Dalahmeh, Main (1985-) Alsafadi, Karam Szabó Szilárd (1974-) (geográfus) Oláh Judit (1973-) (agrárközgazdász, logisztika) Alkerdi, Ali Ocwa, Akasairi (1987-) (Crop scientist) Harsányi Endre (1976-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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4.

001-es BibID:BIBFORM119328
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:Maize Grain Yield and Quality Improvement Through Biostimulant Application: a Systematic Review / Akasairi Ocwa, Safwan Mohammed, Seyed Mohammad Nasir Mousavi, Árpád Illés, Csaba Bojtor, Péter Ragán, Tamás Rátonyi, Endre Harsányi
Dátum:2024
ISSN:0718-9508 0718-9516
Megjegyzések:Increasing the productivity of cereals such as maize while protecting the environment remains a fundamental impetus of healthy food production systems. The use of biostimulants is one of the sustainable strategies to achieve this balance, although the ability of biostimulants to enhance maize productivity varies. Moreover, research on the efcacy of biostimulants is ubiquitous with limited comprehensive global analysis. In this context, this systematic review evaluated the sole and interactive efects of biostimulants on the yield and quality of maize grain from a global perspective. Changes in yield (t ha-1), protein content (%), starch content (%) and oil content (%) of maize grain were assessed. Results revealed that sole and combined application of biostimulants signifcantly improved grain yield. Irrespective of the region, the highest and the lowest grain yields ranged between 16-20 t ha-1 and 1-5 t ha-1, respectively. In sole application, the promising biostimulants were chicken feather (16.5 t ha-1), and endophyte Colletotrichum tofeldiae (14.5 t ha-1). Sewage sludge x NPK (15.4 t ha-1), humic acid x control release urea (12.4 t ha-1), Azospirillum brasilense or Bradyrhizobium japonicum x maize hybrids (11.6 t ha-1), and Rhizophagus intraradices x earthworms (10.0 t ha-1) had higher yield for the interactive efects. The efects of biostimulants on grain quality were minimal, and all attributes improved in the range from 0.1 to 3.7%. Overall, biostimulants had a distinct improvement efect on yield, rather than on the quality of grain. As one way of maximising maize productivity, soil health, and the overall functioning of crop agroecosystems, the integrated application of synergistic microbial and non-microbial biostimulants could provide a viable option. However, the ability to produce consistent yield and quality of grain improvement remains a major concern.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Biostimulants
Grain
Maize
Oil content
Protein content
Starch content
Yield
Megjelenés:Journal of Soil Science and Plant Nutrition. - [Epub ahead of print] : - (2024), p.1-41. -
További szerzők:Mohammed Safwan (1985-) (agrármérnök) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Ragán Péter (1986-) (környzetgazdálkodási agrármérnök) Rátonyi Tamás (1967-) (agrármérnök) Harsányi Endre (1976-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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5.

001-es BibID:BIBFORM112204
035-os BibID:(cikkazonosító)14 (Scopus)85160908963
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:A bibliographic review of climate change and fertilization as the main drivers of maize yield: implications for food security / Akasairi Ocwa ; Endre Harsanyi ; Adrienn Széles ; Imre János Holb ; Szilárd Szabó ; Tamás Rátonyi ; Safwan Mohammed
Dátum:2023
ISSN:2048-7010
Megjegyzések:Introduction Crop production contribution to food security faces unprecedented challenge of increasing human population. This is due to the decline in major cereal crop yields including maize resulting from climate change and declining soil infertility. Changes in soil nutrient status and climate have continued to occur and in response, new fertilizer recommendations in terms of formulations and application rates are continuously developed and applied globally. In this sense, this review was conducted to: (i) identify the key areas of concentration of research on fertilizer and climate change effect on maize grain yield, (ii) assess the extent of the effect of climate change on maize grain yield, (iii) evaluate the extent of the effect of fertilization practices on maize grain yield, and (iv) examine the effect of interaction between climate change factors and fertilization practices on maize grain yield at global perspective.MethodologyComprehensive search of global literature was conducted in Web of Science (WoS) database. For objective 1, metadata on co-authorship (country, organisation), and co-occurrence of keywords were exported and analysed using VOSviewer software. For objective 2-4, yield data for each treatment presented in the articles were extracted and yield increment calculated.ResultsThe most significant keywords: soil fertility, nutrient use efficiency, nitrogen use efficiency, integrated nutrient management, sustainability, and climate change adaptation revealed efforts to improve maize production, achieve food security, and protect the environment. A temperature rise of 1-4 °C decreased yield by 5-14% in warm areas and increased by < 5% in cold areas globally. Precipitation reduction decreased yield by 25-32%, while CO2concentration increased and decreased yield by 2.4 to 7.3% and 9 to 14.6%, respectively. A promising fertilizer was a combination of urea +nitrapyrin with an average yield of 5.1 and 14.4 t ha?1 under non-irrigation and irrigation, respectively. Fertilization under climate change was projected to reduce yield in the average range of 10.5-18.3% by 2099.ConclusionThe results signified that sole fertilizer intensification is insufficient to attain sustainable maize yield. Therefore, there is need for integrated agronomic research that combines fertilizers and other technologies for enhancing maize yield, and consequently maize contribution to the attainment of global food security under climate change conditions
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Climate change
Drought
Fertilizers
Heat stress
Maize
Nitrogen
Temperature
Yield
Megjelenés:Agriculture & Food Security. - 12 : 1 (2023), p. 1-18. -
További szerzők:Harsányi Endre (1976-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Holb Imre (1973-) (agrármérnök) Szabó Szilárd (1974-) (geográfus) Rátonyi Tamás (1967-) (agrármérnök) Mohammed Safwan (1985-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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6.

001-es BibID:BIBFORM111167
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:Precision nutrient application technologies in crop production / Akasairi Ocwa ; Safwan Mohammed ; Brian Ssemugenze ; Endre Harsányi
Dátum:2023
ISBN:978-963-306-924-0
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:20th Wellmann International Scientific Conference : Book of Abstracts / eds. Ingrid Gyalai; Szilárd Czóbel. - p. 37. -
További szerzők:Mohammed Safwan (1985-) (agrármérnök) Ssemugenze, Brian (1988-) (Crop scientist) Harsányi Endre (1976-) (agrármérnök)
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7.

001-es BibID:BIBFORM108703
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:Mapping evidence of the role of foliar fertilizers in mitigating abiotic stress effects on maize: A review / Akasairi Ocwa, Safwan Mohammed, Attila Vad, Péter Ragán, Tamás Rátonyi, Endre Harsányi
Dátum:2022
ISBN:978-83-966062-1-1
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:International Congress on Sustainable development in the Human Environment - Current & Future Challenges. ICSDEV (2022)(Alanya) : Proceedings book / eds. Anna Krakowiak-Bal, Atilgan Atilgan, Roman Rolbiecki, Hakan Aktas. - p. 201. -
További szerzők:Mohammed Safwan (1985-) (agrármérnök) Vad Attila (1981-) (agrármérnök) Ragán Péter (1986-) (környzetgazdálkodási agrármérnök) Rátonyi Tamás (1967-) (agrármérnök) Harsányi Endre (1976-) (agrármérnök)
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8.

001-es BibID:BIBFORM108704
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:Arable Land Trend Analysis and Implications for Major Cereal Crop Yields in Hungary / Akasairi Ocwa, Safwan Mohammed, Endre Harsanyi
Dátum:2022
ISBN:978-963-626-069-9
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:XI. Interdiszciplináris Doktorandusz Konferencia : Absztraktkötet / ed. Kajos Luca Fanni; Bali Cintia; Puskás Tamás; Horváth-Polgár Petra Ibolya; Glázer-Kniesz Adrienn; Tislér Ádám; Kovács Eszter. - p. 15. -
További szerzők:Mohammed Safwan (1985-) (agrármérnök) Harsányi Endre (1976-) (agrármérnök)
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9.

001-es BibID:BIBFORM108588
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:Foliar fertilizer and crop production : a review / Akasairi Ocwa, Safwan Mohammed, Endre Harsanyi
Dátum:2022
Megjegyzések:Recently, the production and marketing of foliar fertilizers has increased. This is owed to foliar fertilization ability to enhance crop yield and quality. The main aim of this work is to give a comprehensive review about the negative and positive sides of foliar fertilization. Scientifically, foliar fertilization has many positive sides, such as, friendliness to environment, rapid supply of nutrients to crops at critical stages and faster correction of deficiency symptoms. Besides, balanced plant nutrition with micro nutrients has been more possible through use of blended foliar fertilizers. Effectiveness of foliar fertilizers depends on whether they are used solely or in combination with soil application keeping other factors constant. Majority of the research indicate that foliar fertilization shouldn`t be used as substitute for soil fertilization but as a compliment. On the contrary, some reports have indicated that foliar fertilization alone can enhance productivity of crops provided the right formulation and amount is applied at the most critical stages of the plant. In both situations, understanding foliar nutrient uptake pathways and processes is critical in optimizing nutrient use efficiency by crops and preventing the negative effects of inappropriate nutrient or fertilizer formulations and application rates. With concern of environmental pollution caused by over pumping of soil with fertilizers, more specific studies need to conducted to find sustainable ways of increasing foliar application with minimal soil fertilization to enhance crop productivity.
ISBN:978-963-306-860-1
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:Book of abstracts /szerk. Tamás Monostori, Adrienn Szarvas, Levente Komarek, Ágnes Süli, Júlia Hupuczi, István Majzinger. - p. 15. -
További szerzők:Mohammed Safwan (1985-) (agrármérnök) Harsányi Endre (1976-) (agrármérnök)
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