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1.

001-es BibID:BIBFORM083730
035-os BibID:(cikkazonosító)247 (WoS)000521366400019 (Scopus)85079425405
Első szerző:Bákonyi Nóra (agrármérnök)
Cím:Chemical Traits of Fermented Alfalfa Brown Juice: Its Implications on Physiological, Biochemical, Anatomical, and Growth Parameters of Celosia / Bákonyi Nóra, Kisvarga Szilvia, Barna Döme, Tóth O. Ibolya, Hassan El-Ramady, Neama Abdalla, Kovács Szilvia, Rozbach Margaréta, Fehér Csaba, Nevien Elhawat, Tarek Alshaal, Fári Miklós Gábor
Dátum:2020
ISSN:2073-4395
Megjegyzések:Brown juice is a byproduct of fractionated green biomass during leaf protein isolation. It represents approximately 45%?50% of the total pressed fresh biomass. Disposal of brown juice is a serious issue in leaf protein production due to its high biological oxygen demand and carbohydrates content. The current study aimed to find a possible potential use of brown juice. Therefore, chemical and biochemical properties of brown juice?derived from alfalfa green biomass?were determined before and after fermentation by lactic acid bacteria. Additionally, the growth stimulation potential of fermented brown juice on plumed cockscomb (Celosia argantea var. plumose 'Arrabona') plants were tested. Celosia seedlings were sprayed at different rates of fermented brown juice (i.e., 0.5%, 1%, 2.5%, 5%, and 10%) and tap water was applied as control. The results revealed that lactic acid bacteria successfully enhanced the stabilization of brown juice via reducing sugars content and increasing organic acids content. After fermentation, contents of glucose monomers were 15 times lower; while concentrations of lactic and acetic acids increased by 7- and 10-fold, respectively. This caused a reduction in the pH of fermented brown juice by 13.9%. Treating Celosia plants at lower rates of fermented brown juice (up to 1.0%) significantly induced their growth dynamics and antioxidant capacity. Higher values of vegetative parameters were measured in treated plants compared to control. The brown juice treatments caused significant changes in histological parameters as well. The activity of catalase and peroxidase increased in plants that received fermented brown juice especially at low rates. Moreover, an increase in water-soluble protein and phenol was measured in different tissues of plants sprayed with fermented brown juice. Malondialdehyde content was lowered in treated plants compared to control. Fermented brown juice at high rates slightly reduced the amount of photosynthetic pigments; however, this reduction was not reported for low rates of fermented brown juice. These results surely illustrate the potential use of fermented alfalfa brown juice as a growth stimulator for crops particularly at rates below 2.5%.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
deproteinized leaf juice
fermentation
lactic acid bacteria
plant nutrition
antioxidant capacity
ornamental plants
Megjelenés:Agronomy-Basel. - 10 : 2 (2020), p. 1-22. -
További szerzők:Kisvarga Szilvia (1984-) Barna Döme (1994-) (kertészmérnök) Tóth O. Ibolya El-Ramady, Hassan (1969-) (agrármérnök) Abdalla, Neama Kovács Szilvia (1972-) (gyombiológia) Rozbach Margaréta Fehér Csaba Elhawat, Nevien Adel (1984-) (agrármérnök) Alshaal, Tarek Ali Ahmed Ibrahim (1980-) (Soil Scientist) Fári Miklós (1953-) (kertészmérnök)
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2.

001-es BibID:BIBFORM120089
035-os BibID:(cikkazonosító)745
Első szerző:Balláné Kovács Andrea (vegyész)
Cím:Changes in Microbial Community and Activity of Chernozem Soil under Different Management Systems in a Long-Term Field Experiment in Hungary / Andrea Balla Kovács, Evelin Kármen Juhász, Áron Béni, Ida Kincses, Magdolna Tállai, Zsolt Sándor, János Kátai, Tamás Rátonyi, Rita Kremper
Dátum:2024
ISSN:2073-4395
Megjegyzések:The effects of intensive and reduced tillage, fertilization, and irrigation on soil chemical and microbiological parameters were studied in a long-term field experiment in Hungary. The treatments were plowing tillage, ripper tillage, strip tillage; control (without fertilization), NPK fertilization (N: 160 kg/ha; P: 26 kg/ha; K: 74 kg/ha); and non-irrigation and irrigation. Soil samples were collected through maize monoculture in the fall of 2021 in the 30th year of the experiment. The soil organic carbon, total nitrogen, soil microbial biomass (based on PLFA analysis), and soil enzyme activity were observed to be significantly high in the strip tillage plots, but were lower in the ripper tillage plots, and even lower in the plowing tillage plots. The fungal, arbuscular mycorrhiza fungal, and bacterial biomasses were significantly higher in the strip tillage and ripper tillage plots compared to the plowing tillage plots. The strip tillage treatment was found to be the most favorable cultivation method for improving the microbial biomass and activity of Chernozem soil, followed by the ripper tillage and plowing tillage treatments. The long-term use of chemical fertilizers greatly reduced the soil microbial biomass and negatively impacted the soil microbial community, leading to a decrease in fungi and Gram-negative bacteria. The ratio of cyclopropyl PLFA precursors to cyclopropyl PLFAs, as a "stress factor", indicated the most stressful bacterial environment was that found in the fertilized, non-irrigated plowed soil.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
tiilage
fertilization
PLFA
soil microbiome
Megjelenés:Agronomy-Basel. - 14 : 4 (2024), p. 1-15. -
További szerzők:Juhász Evelin Kármen (1992-) (környezetgazdálkodási agrármérnök) Béni Áron (1978-) (vegyész) Kincses Sándorné (1964-) (agrokémia) Tállai Magdolna (1982-) (agrármérnök) Sándor Zsolt (1977-) (agrármérnök, mérnöktanár) Kátai János (1950-) (biológus, hidrobiológus) Rátonyi Tamás (1967-) (agrármérnök) Kremper Rita (1969-) (matematika-kémia tanár, angol szakfordító)
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3.

001-es BibID:BIBFORM089613
035-os BibID:(cikkazonosító)610 (WoS)000534620300094 (Scopus)85086849263
Első szerző:Balogh Péter (agrármérnök)
Cím:Main Motivational Factors of Farmers Adopting Precision Farming in Hungary / Balogh Péter, Bujdos Ágnes, Czibere Ibolya, Fodor László, Gabnai Zoltán, Kovách Imre, Nagy János, Bai Attila
Dátum:2020
ISSN:2073-4395
Megjegyzések:The basic question of our research is what crop-producing farmers know about PF (precision farming), and how economic value and social factors motivate the acceptance and implementation of PF. We conducted a cross-sectional survey, using standardized questionnaires, in 2018, that was nationally representative of Hungarian crop producers. Besides this, we conducted 30 semi-structured interviews about the meaning of PF, with the farmers who use PF in practice. They defined it as a tool of strategic planning, to serve input savings, using state-of-the-art technologies. Based on the questionnaire, we found that the farmers currently applying PF do not seem to have such a significant impact on the agricultural society that would make others want to move to precision technology, following their example. As a result of the factor analysis, we could differentiate direct and indirect factors. Potential human resources are undereducated, their willingness to improve their knowledge is low, and the level of cooperation ability is low, making it excessively difficult, or even impossible, to acquire the equipment necessary for a technology switch and to purchase the necessary services. It can be concluded that age, production, and technical usefulness carries greater weight over things like monetary factors, productivity of cultivated land, knowledge capital, and willingness of Hungarian farmers to cooperate.
Tárgyszavak:Agrártudományok Állattenyésztési tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
precision farming
factor analysis
arable farming
farmers' motivation
social factors
Megjelenés:Agronomy-Basel. - 10 : 4 (2020), p. 1-19. -
További szerzők:Bujdos Ágnes (1984-) (jogász) Czibere Ibolya (1965-) (szociológus, szociálpolitkus) Fodor László (1972-) (jogász) Gabnai Zoltán (1988-) (gazdasági agrármérnök) Kovách Imre (1953-) (szociológus) Nagy János (1951-) (agrármérnök, mérnök-tanár) Bai Attila (1967-) (agrár-közgazdász)
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4.

001-es BibID:BIBFORM084707
035-os BibID:(cikkazonosító)384 (WoS)000529377300070 (Scopus)85081693511
Első szerző:Basal Oqba (agrármérnök)
Cím:The Combined Effect of Drought Stress and Nitrogen Fertilization on Soybean / Oqba Basal, András Szabó
Dátum:2020
ISSN:2073-4395
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 10 : 3 (2020), p. 1-18. -
További szerzők:Szabó András (1978-) (agrármérnök)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
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5.

001-es BibID:BIBFORM097676
035-os BibID:(cikkazonosító)2167 (WoS)000834744800001 (Scopus)85118208749
Első szerző:Bojtor Csaba (okleveles növényorvos)
Cím:Stability and Adaptability of Maize Hybrids for Precision Crop Production in a Long-Term Field Experiment in Hungary / Csaba Bojtor, Seyed Mohammad Nasir Mousavi, Árpád Illés, Adrienn Széles, János Nagy, Csaba L. Marton
Dátum:2021
ISSN:2073-4395
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 11 : 11 (2021), p. 1-14. -
További szerzők:Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Széles Adrienn (1980-) (okleveles agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár) Marton Csaba L.
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-0000
EFOP
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Szerző által megadott URL
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6.

001-es BibID:BIBFORM090210
035-os BibID:(WoS)000602262000001 (Scopus)85109114310 (cikkazonosító)1999
Első szerző:Csajbók József (agrármérnök)
Cím:Photosynthetic and Agronomic Traits of Winter Barley (Hordeum vulgare L.) Varieties / Csajbók József, Pepó Péter, Kutasy Erika
Dátum:2020
ISSN:2073-4395
Megjegyzések:We tested six winter barley (Hordeum vulgare L.) cultivars in a small plot field experiment, measuring photosynthesis and other parameters three times during the growing season. Four genotypes?Andoria, Jakubus, Paradies and Zophia?are new, promising varieties with requirements of intensive technology, high yield potential and very good disease resistance. The two popular Hungarian varieties (KG Apavár and KG Puszta) are relatively old but they have good tolerance to extreme ecological conditions and outstanding resistance and winter hardiness. The aim of our research was to test the new varieties' performance. Several recent studies found close connections among various photosynthetic parameters in barley, and we confirmed that in our research. There were significant differences between the varieties in the assimilation rate?the highest values were measured at the BBCH 47?49 stage (end of booting), except Jakubus and Zophia, where the highest values were at BBCH 73?75 (milk ripe). The cultivars' response to irradiation change varied, especially at higher photosynthetic photon flux density (PPFD) levels. In April and May, the plants were in drought stress according to the intercellular CO2 level and the total conductance to carbon dioxide. The differences between the air and leaf temperature were also low, indicating water stress, but the assimilation rate was relatively high (9.07?14.09 ?mol m?2 s?1).We found a close connection between normalized difference vegetation index (NDVI) values and grain protein content in each of the tested barley cultivars. The correlation was significant, at p = 0.01 level. The protein yield per hectare was determined rather by grain yield than protein content. The relationship between the NDVI values and grain yield was moderate, but NDVI values and protein content are in strong correlation.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
winter barley
photosynthesis parameters
cultivars
nutrient supply
Megjelenés:Agronomy-Basel. - 10 : 12 (2020), p. 1999-2018. -
További szerzők:Pepó Péter (1955-) (agrármérnök) Kutasy Erika (1974-) (agrármérnök)
Pályázati támogatás:EFOP-3.6.3-16-2017-00008
EFOP
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7.

001-es BibID:BIBFORM104808
035-os BibID:(WoS)000735710600001 (Scopus)85121593426
Első szerző:Demeter Cintia (agrármérnök, növénytermesztő)
Cím:Analysis of the Content Values of Sweet Maize (Zea mays L. Convar Saccharata Koern) in Precision Farming / Demeter Cintia, Nagy János, Huzsvai László, Zelenák Annabella, Szabó Atala, Széles Adrienn
Dátum:2021
ISSN:2073-4395
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 11 : 12 (2021), p. 2596-2608. -
További szerzők:Nagy János (1951-) (agrármérnök, mérnök-tanár) Huzsvai László (1961-) (talajerőgazdálkodási szakmérnök, agrármérnök) Zelenák Annabella (1995-) (mezőgazdasági mérnök) Szabó Atala (1995-) (növénytermesztő mérnök) Széles Adrienn (1980-) (okleveles agrármérnök)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
TKP2020-IKA-04
Egyéb
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8.

001-es BibID:BIBFORM100395
035-os BibID:(cikkazonosító)516 (WoS)000764830200001 (Scopus)85125038156
Első szerző:Elbeltagi, Ahmed
Cím:Combination of Limited Meteorological Data for Predicting Reference Crop Evapotranspiration Using Artificial Neural Network Method / Ahmed Elbeltagi, Attila Nagy, Safwan Mohammed, Chaitanya B. Pande, Manish Kumar, Shakeel Ahmad Bhat, József Zsembeli, László Huzsvai, János Tamás, Elza Kovács, Endre Harsányi, Csaba Juhász
Dátum:2022
ISSN:2073-4395
Megjegyzések:Reference crop evapotranspiration (ETo) is an important component of the hydrological cycle that is used for water resource planning, irrigation, and agricultural management, as well as in other hydrological processes. The aim of this study was to estimate the ETo based on limited meteorological data using an artificial neural network (ANN) method. The daily data of minimum temperature (Tmin), maximum temperature (Tmax), mean temperature (Tmean), solar radiation (SR), humidity (H), wind speed (WS), sunshine hours (Ssh), maximum global radiation (gradmax), minimum global radiation (gradmin), day length, and ETo data were obtained over the long-term period from 1969 to 2019. The analysed data were divided into two parts from 1969 to 2007 and from 2008 to 2019 for model training and testing, respectively. The optimal ANN for forecasting ETo included Tmax, Tmin, H, and SR at hidden layers (4, 3); gradmin, SR, and WS at (6, 4); SR, day length, Ssh, and Tmean at (3, 2); all collected parameters at hidden layer (5, 4). The results showed different alternative methods for estimation of ETo in case of a lack of climate data with high performance. Models using ANN can help promote the decision-making for water managers, designers, and development planners.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 12 : 2 (2022), p. 1-18. -
További szerzők:Nagy Attila (1982-) (környezetgazdálkodási agrármérnök) Mohammed Safwan (1985-) (agrármérnök) Pande, Chaitanya Kumar, Manish Bhat, Shakeel Ahmad Zsembeli József (1967-) (agrármérnök) Huzsvai László (1961-) (talajerőgazdálkodási szakmérnök, agrármérnök) Tamás János (1959-) (környezetgazdálkodási agrármérnök) Kovács Elza (1976-) (okleveles vegyész, angol-magyar szakfordító, anyagmérnök MSc) Harsányi Endre (1976-) (agrármérnök) Juhász Csaba (1962-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:TKP2020-IKA-04
Egyéb
KP2021-NKTA-32
Egyéb
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9.

001-es BibID:BIBFORM112685
035-os BibID:(cikkazonosító)1600 (WoS)001013848300001 (Scopus)85163999651
Első szerző:El-Ramady, Hassan (agrármérnök)
Cím:Nanofarming : Promising Solutions for the Future of the Global Agricultural Industry / Hassan El-Ramady, Neama Abdalla, Daniella Sári, Aya Ferroudj, Arjun Muthu, József Prokisch, Zakaria F. Fawzy, Eric C. Brevik, Svein Ø. Solberg
Dátum:2023
ISSN:2073-4395
Megjegyzések:The agricultural sector is a vital source of human well-being that provides the necessities of daily life. A variety of farming systems are utilized in agriculture, such as a wide range of tillage options, no-till, agroforestry, precision farming, organic farming, cover cropping, crop rotations, etc. Each of these farming systems has unique challenges, and nanotechnology has successfully improved on many of them. Agricultural applications of nanotechnology include nanofertilizers, nanopesticides, nanosensors, nanobiotechnology, and nanoremediation. This study focuses on the application of nano-farming technologies to different farming systems. Suggested practices include nano improvement of soil quality, crop nano-protection under biotic stress, nanoremediation of polluted soil and water environments, nanomanagement of agro-wastes, nano-agrochemicals, nano-precision farming, and nanobiotechnology for modern farming. This review also addresses expected problems that may occur due to over application of nanomaterials to farming systems, such as nanopollution and nanotoxicity of agroecosystem compartments. Several dimensions are emphasized in this study, such as green energy, sustainable development, the circular bioeconomy, land biodegradation, pollution, and the one health approach, as essential for the global goals of sustainable development. Nanofarming presents both bene?ts and obstacles to human life. The exact balance between these benefits and challenges needs more study.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
nanopollution
nanoremediation
nano-priming
nanopesticides
precision farming
nanotoxicology
nanobiotechnology
Megjelenés:Agronomy-Basel. - 13 : 6 (2023), p. 1-32. -
További szerzők:Abdalla, Neama Sári Daniella (1991-) (dietetikus, élelmiszer mérnök, mezőgazdasági mérnök) Ferroudj, Aya Muthu Arjun (1996-) (Ph.D. student) Prokisch József (1966-) (vegyész) Fawzy, Zakaria Brevik, Eric C. Solberg, Svein Øivind
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10.

001-es BibID:BIBFORM095583
035-os BibID:(cikkazonosító)1361 (WoS)000675934700001 (Scopus)85110324174
Első szerző:Ezzat, Gaballa Kassem Ahmed (agrár)
Cím:Deficit Irrigation Strategies on Tree Physiological and Chemical Properties: Treatment Effects, Prediction Based Model Analyses and Inter-Correlations / Ahmed Ezzat, Abdel-Moety Salama, Szilárd Szabó, Arshad Abdulkhalq Yaseen, Bianka Molnár, Imre J. Holb
Dátum:2021
ISSN:2073-4395
Megjegyzések:Irrigation is a key factor for different physiological aspects of fruit trees. Therefore, such irrigation protocols that can save water consumption during irrigation and maintain fruit trees productivity are an essential goal especially under semiarid climate conditions. The aim of this 3-year apricot study was to investigate the effect of four deficit irrigation (DI) treatments (control, moderate regulated deficit irrigation: RDIm, severe RDI: RDIs and continuous DI: CDI) on 15 tree physiological properties (chilling requirement?CR, heat requirement?HR, days from end?dormancy until fruit harvest?DEDFH, sum of growing degree days?sGDD, total number of buds?TNB, number of flower buds?NFB, number of vegetative buds?NVB, starting date of flowering?SDF, number of opened flower buds?NOFB, flower bud abscission?FBA, fruit set?FS, seasonal vegetative growth?SVG, fruit number per tree?FNT, fruit weight?FW, fruit yield?FY), and on two tree chemical properties (total soluble carbohydrates?TSC and total proline content?TPC) on apricot cultivars ♭Ninfa' and ♭Canino' in Egypt. Results showed that both DI treatments and cultivars significantly influenced the values of CR, HR, TNB, SDF, NOFB, FS, SVG, FNT, FY, TSC, and TPC. Values of FBA were significantly affected by years and DI treatments, while sGDD by years and cultivars. Values of DEDFH, NFB, and FW were significantly influenced only by cultivars, while NVB only by DI treatments. The RDIm treatment gave the most acceptable values for most measured properties compared to the fully irrigated control treatment. Prediction based model analysis demonstrated that generalized linear models (GLMs) can be predictors for the measured tree properties in the DI treatments. The best goodness-of-fit of the predicted GLMs was reached for HR, NOFB, FS, SVG, FNT, TSC, and TPC. In all the four DI treatments, 22 pair-variables (TNB versus (vs.) NFB, TNB vs. NOFB, TNB vs. NOFB, NFB vs. NOFB, NFB vs. FNT, NFB vs. FY, NFB vs. FW, NOFB vs. SVG, NOFB vs. FNT, NOFB vs. FY, FS vs. FNT, FS vs. FY, SVG vs. FNT, SVG vs. FY, SVG vs. TSC, FNT vs. FY, FY vs. FW, CR vs. TSC, HR vs. TNB, HR vs. NFB, HR vs. FNT, HR vs. FY, and NOFB vs. FBA) correlated significantly in Pearson correlation and regression analyses. Principal component analyses explained 82% of the total variance and PC1, PC2, and PC3 explained 23, 21, and 15% of the total variance and correlated with the HR, TNB, FS, FNT and FY; FBA, SVG, TSC, and TPC; and NFB, NVB and NOFB, respectively, indicating strong connections among tree physiological and chemical properties. In conclusion, DI techniques using moderate water deficits can be managed successfully in apricot production under semiarid Mediterranean climate conditions such as the one in Egypt.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
chilling requirement
bud number
shoot growth
flowering
fruit set
yield
soluble carbohydrates
proline content
prediction based GLMs
regression analyses
PCA
Megjelenés:Agronomy-Basel. - 11 : 7 (2021), p. 1-34. -
További szerzők:Salama, Abdel-Moety Szabó Szilárd (1974-) (geográfus) Yaseen, Arshad Abdulkhalq (1986-) (Agricultural Engineer) Molnár Bianka Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:Bolyai János Kutatási Ösztöndíj
Egyéb
NKFI K 131478
Egyéb
TÁMOP-4.2.4.A/2-11/1- 2012-0001
TÁMOP
TKP2020-NKA-04
Egyéb
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11.

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
Egyéb
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DOI
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12.

001-es BibID:BIBFORM115406
035-os BibID:(cikkazonosító)2633 (WoS)001098265000001 (Scopus)85175375665
Első szerző:Higazy, Ahmed E.
Cím:Production of Black Cumin via Somatic Embryogenesis, Chemical Profile of Active Compounds in Callus Cultures and Somatic Embryos at Different Auxin Supplementations / Ahmed E. Higazy, Mohammed E. El-Mahrouk, Antar N. El-Banna, Mosaad K. Maamoun, Hassan El-Ramady, Neama Abdalla, Judit Dobránszki
Dátum:2023
ISSN:2073-4395
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
black cumin
Ranunculaceae
medicinal plants
in vitro cultures
auxins
phytochemicals
gas chromatography
thymoquinone
antibacterial
anticancer
antioxidant
Megjelenés:Agronomy-Basel. - 13 : 10 (2023), p. 1-17. -
További szerzők:Elmahrouk, Mohammed El-Banna, Antar N. Maamoun, Mosaad K. El-Ramady, Hassan (1969-) (agrármérnök) Abdalla, Neama Dobránszki Judit (1967-) (biológus)
Pályázati támogatás:TKP2021-EGA-20
FIKP
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DOI
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