Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Adrienn, Széles"'
Autor:
Adrienn Széles, László Huzsvai, Safwan Mohammed, Anikó Nyéki, Péter Zagyi, Éva Horváth, Károly Simon, Sana Arshad, András Tamás
Publikováno v:
Journal of Agriculture and Food Research, Vol 15, Iss , Pp 100967- (2024)
Precision agricultural (PrA) technology relies on the utilization of special equipment to access real time observations on plant health status, chlorophyll, nitrogen content, and soil moisture content. In this research new PrA technology (i.e., SPAD
Externí odkaz:
https://doaj.org/article/716475903f8b4f2aae18c69e87465b86
Publikováno v:
Agriculture, Vol 14, Iss 6, p 956 (2024)
The aim of this study was to determine the nitrogen requirement of maize, the optimal timing and amount of nutrient application, based on long time series data. An additional objective was to examine the response of the relative chlorophyll content o
Externí odkaz:
https://doaj.org/article/33f443dfc9eb44f09c725caa1fdf6518
Autor:
Akasairi Ocwa, Endre Harsanyi, Adrienn Széles, Imre János Holb, Szilárd Szabó, Tamás Rátonyi, Safwan Mohammed
Publikováno v:
Agriculture & Food Security, Vol 12, Iss 1, Pp 1-18 (2023)
Abstract 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
Externí odkaz:
https://doaj.org/article/1fa0463dfbb14b5eb3239294fc4ef900
Autor:
Safwan Mohammed, Karam Alsafadi, Glory O. Enaruvbe, Bashar Bashir, Ahmed Elbeltagi, Adrienn Széles, Abdullah Alsalman, Endre Harsanyi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract This study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspirat
Externí odkaz:
https://doaj.org/article/b3652f9947a541a283b1319d5af8ce70
Publikováno v:
Plants, Vol 12, Iss 18, p 3301 (2023)
Maize yield forecasting is important for the organisation of harvesting and storage, for the estimation of the commodity base and for the provision of the country’s feed and food demand (export–import). To this end, a field experiment was conduct
Externí odkaz:
https://doaj.org/article/be1753e55cd84eff9b0765e43ddac0dc
Autor:
László Radócz, Atala Szabó, András Tamás, Árpád Illés, Csaba Bojtor, Péter Ragán, Attila Vad, Adrienn Széles, Endre Harsányi
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1499 (2023)
Corn smut fungus (Ustilago maydis [DC.] Corda) is a globally widespread pathogen affecting both forage and sweet maize hybrids, with higher significance in sweet maize. Remote sensing technologies demonstrated favorable results for disease monitoring
Externí odkaz:
https://doaj.org/article/048a5ebeb2374d498eaaba6548c5f25f
Autor:
Amir Ghalkhani, Farid Golzardi, Azim Khazaei, Ali Mahrokh, Árpád Illés, Csaba Bojtor, Seyed Mohammad Nasir Mousavi, Adrienn Széles
Publikováno v:
Plants, Vol 12, Iss 11, p 2154 (2023)
Water scarcity is a major obstacle to forage crop production in arid and semi-arid regions. In order to improve food security in these areas, it is imperative to employ suitable irrigation management techniques and identify drought-tolerant cultivars
Externí odkaz:
https://doaj.org/article/bcd7586c37994eacb16d4b1fd686531d
Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe
Autor:
Endre Harsányi, Bashar Bashir, Sana Arshad, Akasairi Ocwa, Attila Vad, Abdullah Alsalman, István Bácskai, Tamás Rátonyi, Omar Hijazi, Adrienn Széles, Safwan Mohammed
Publikováno v:
Agronomy, Vol 13, Iss 5, p 1297 (2023)
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, especia
Externí odkaz:
https://doaj.org/article/cdd01cf863574ec4a00cb35a53fe5994
Autor:
Zsuzsa Máthéné Szigeti, László Tálas, Adrienn Széles, Zoltán Hargitai, Zsolt László Nagy, Miklós Nagy, Alexandra Kiss, Sándor Kéki, Gábor Szemán-Nagy
Publikováno v:
Journal of Fungi, Vol 8, Iss 10, p 985 (2022)
As the recent outbreak of coronavirus disease 2019 (COVID-19) has shown, viral infections are prone to secondary complications like invasive aspergillosis with a high mortality rate, and therefore the development of novel, effective antifungals is of
Externí odkaz:
https://doaj.org/article/43ca876def124dcaa5e592c540fa600c
Autor:
Csaba Bojtor, Seyed Mohammad Nasir Mousavi, Árpád Illés, Farid Golzardi, Adrienn Széles, Atala Szabó, János Nagy, Csaba L. Marton
Publikováno v:
Plants, Vol 11, Iss 12, p 1593 (2022)
Maize is one of the most widely used plants in the agricultural industry, and the fields of application of this plant are broad. The experiment was conducted at the Látókép Crop Production Experimental Station of the University of Debrecen, Hungar
Externí odkaz:
https://doaj.org/article/5d1cd3db38e744f28e4acd1608359e8f