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1.

001-es BibID:BIBFORM116746
035-os BibID:(WoS)001108972400001 (Scopus)85177801669
Első szerző:Antal Gabriella (kertészmérnök)
Cím:Yield and cost-benefit analyses for apple scab sanitation practices in integrated and organic apple management systems / Gabriella Antal, Szilárd Szabó, Péter Szarvas, Imre J. Holb
Dátum:2023
ISSN:2572-2611
Megjegyzések:Societal Impact statementReduced fungicide use lowers environmental pollution and enables safer food production. The usage of fungicides in apple orchards can be reduced through the application of sanitation practices which decrease the inoculum sources of apple scab disease on fallen leaves. This study found two non-chemical sanitation practices, namely the collection of fallen leaves (CFL) and CFL combined with straw mulch in tree rows, were beneficial. These two practices are not only biologically and environmentally valuable, as they reduce disease levels and can replace chemical fungicides, but they are also economically efficient options for integrated and organic orchards compared to non-sanitized ones.SummarySevere fungicide use can be reduced by applications of sanitation practices in order to reduce scab incidence, yield and fruit quality losses in apple orchards. In a 5-year study, we aimed to investigate the effect of sanitation practices on biological and cost-benefit parameters in two sustainable apple management systems, and to find significant correlations among the parameters.We investigated the effect of five sanitation treatments (lime sulphur, leaf collection, mulching, lime sulphur + leaf collection, leaf collection + mulching) on four biological (scab incidence, fruit parameters: total yield, yield class I and II) and seven cost-benefit (three cost types, three annual revenue types, income surplus/deficit) parameters in integrated and organic apple orchards. Correlation, linear regression and principal component analyses (PCA) were performed to find correlations among biological and cost-benefit parameters.Results showed that fruit scab incidence was 3.4-8.1 times higher, while total yield was 1.4-1.8 times lower in the organic management system than in the integrated one. The treatment of leaf collection and/or leaf collection + mulching showed higher total cost (180.3 and 675.2 EUR ha-1) but lower scab incidence (5.3 and 27.3%; 4.8 and 26.7%, integrated and organic, respectively) and higher yield with greater total revenues (10,235 and 10,329 EUR ha-1; 8,136 and 8,230 EUR ha-1, integrated and organic, respectively) and income surpluses (851 and 451 EUR ha-1; 897 and 496 EUR ha-1, integrated and organic, respectively) compared to non-sanitized control treatments in most cases. Other sanitation treatments provided fewer biological and/or no financial benefits. Results from correlation and linear regression analyses indicated strong relationships among the factors of total yield vs surplus, class I vs surplus, and fruit scab vs class II) in both management systems. Further relationships were detected among almost all parameters in the PCA.Overall, our study demonstrated that two non-chemical sanitation treatments could not only reduce scab incidence and increase fruit yield, but could show positive cost-benefit outcomes in both management systems.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
apple scab
cost-benefit analyses
integrated and organic production
leaf collection
lime sulphur
mulch cover
sanitation
yield loss
Megjelenés:Plants People Planet. - [Epub ahead of print] (2023). -
További szerzők:Szabó Szilárd (1974-) (geográfus) Szarvas Péter (1974-) Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:K 131478
OTKA
TKP2020-NKA-04
Egyéb
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2.

001-es BibID:BIBFORM089171
Első szerző:Bekő László (okleveles vidékfejlesztési agrármérnök)
Cím:Vetésszerkezet meghatározása különböző multispektrális műholdfelvételek alkalmazásával / Bekő László, Burai Péter, Kiss Alida, Lénárt Csaba, Tomor Tamás, Schinogl Péter, Holb Imre, Szabó Szilárd
Dátum:2020
ISBN:978-963-318-886-6
Tárgyszavak:Természettudományok Környezettudományok előadáskivonat
könyvrészlet
Megjelenés:Az elmélet és a gyakorlat találkozása a térinformatikában XI. : Theory meets practice in gis / szerk. Molnár Vanda Éva. - p. 47-54. -
További szerzők:Burai Péter (1977-) (agrármérnök) Kiss Alida (1987-) (vidékfejlesztő agrármérnök, környezetgazdálkodási agrármérnök) Lénárt Csaba (1969-) (agrármérnök) Tomor Tamás (1976-) (geográfus) Schinogl Péter Holb Imre (1973-) (agrármérnök) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:2018-1.1.1-MKI-2018-00051
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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3.

001-es BibID:BIBFORM103180
035-os BibID:(cikkazonosító)107262 (WoS)000888179500003 (Scopus)85135418688
Első szerző:Bertalan László (geográfus)
Cím:UAV-based multispectral and thermal cameras to predict soil water content - A machine learning approach / László Bertalan, Imre Holb, Angelika Pataki, Gábor Négyesi, Gergely Szabó, Annamária Kupásné Szalóki, Szilárd Szabó
Dátum:2022
ISSN:0168-1699
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Uncrewed Aerial Vehicles
Pixel value extraction
Model evaluation
Farm size
Regression
Megjelenés:Computers And Electronics In Agriculture. - 200 (2022), p. 1-11. -
További szerzők:Holb Imre (1973-) (agrármérnök) Pataki Angelika (1995-) (geográfus) Négyesi Gábor (1980-) (geográfus) Szabó Gergely (1975-) (geográfus) Kupásné Szalóki Annamária (1987-) (környezetgazdálkodási agrármérnök) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:NKFIH TNN 123457
Egyéb
NKFIH K 131478
Egyéb
TKP2020-NKA-04
Egyéb
COST Action CA16219
Egyéb
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4.

001-es BibID:BIBFORM099791
035-os BibID:(WoS)000742281800001 (Scopus)85122982907
Első szerző:Csihon Ádám (kertészmérnök)
Cím:Tree vegetative and generative properties and their inter-correlations for prospective apple cultivars under two training systems for young trees / Csihon Ádám, Gonda István, Szabó Szilárd, Holb Imre J.
Dátum:2022
ISSN:2211-3452 2211-3460
Megjegyzések:Little information is available on vegetative and generative performance of apple cultivars during the early growth of trees in orchards. The aim of this five-year study was to evaluate 2 vegetative (trunk cross sectional area (TCSA) and tree height (TH)) and 7 generative parameters (tree yield (TY), fruit number per tree (FNT), crop load (CL), fruit diameter (FD), shape index (SI), fruit surface color (FSC) and fruit color intensity (FCI)) and their inter-correlations (Pearson correlation, regression analyses and PCA) for young apple trees, on 9 apple cultivars ('Jugala', 'Galaval', 'Gala Venus Fengal', 'Gala Decarli-Fendeca', 'Gala Schnitzer (S) Schniga', 'Fuji September Wonder', 'Crimson Crisp (Co-op 39)', 'Jeromine', and 'Red Idared') in a slender spindle training system (2597 trees ha(-1)) and on 4 apple cultivars ('Wilton's Red Jonaprince', 'Red Cap Valtod (S)', 'Early Red One', and 'Red Topaz') in a super spindle training system (5194 trees ha(-1)) in Eastern Hungary. The strongest vegetative growth was observed in 'Red Idared', while the weakest was in 'Early Red One'. Most 'Gala' mutants showed high yields in all years, except for 'Galaval'. On the 6 year-old trees, the lowest tree yield was found in 'Fuji September Wonder' (8.2 kg tree(-1)), while the highest was found in 'Gala Venus Fengal' (35.8 kg tree(-1)). The lowest fruit number per tree (15 fruit tree(-1)) was found in 'Jeromine', while the highest (222 fruit tree(-1)) was in 'Gala Venus Fengal'. The highest crop load was found in 'Gala Venus Fengal' (12.72 fruit per cm(2) TCSA), while the lowest was in 'Jeromine' (2.13 fruit per cm(2) TCSA). The smallest fruit diameter (66.3 mm) was recorded in 'Gala Schnitzer (S) Schniga', while highest (93.6 mm) was in 'Red Idared'. The lowest shape index (0.73) was found in 'Red Topaz', while the highest (0.92) was in 'Red Idared'. The majority of the cultivars reached very good fruit surface color (80-100%). The lowest fruit surface color (40%) was observed in 'Gala Schnitzer (S) Schniga', while the highest (100%) was in 'Jeromine' and 'Early Red One'. The highest fruit color intensity was observed in most cultivars with the exception of 'Jeromine', 'Gala Schnitzer (S) Schniga' and'Fuji September Wonder'. In addition, correlation and regression analyses revealed strong and significant (p = 0.05) relationships between TH vs TCSA, TY vs TCSA, TH vs TY, TY vs FNT, and FCI vs FSC. PCA explained 87% of the total variance and PC1, PC2, PC3, and PC4 accounted for 33, 21, 20, and 13% of the variance, respectively, and correlated with TSCA, TH, TY and FNT; with FNT, CL and FS; with FSC and FCI; and with TH and SI, respectively. In conclusion, our study provides useful tree property data on prospective mutants/cultivars for growers/advisors in order to select the most suitable cultivars for establishing new orchards under climate conditions similar to central Europe.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Apple cultivars
Generative parameters
Training system
Vegetative parameters
Young tree
Megjelenés:Horticulture, Environment, and Biotechnology. - 63 : 3 (2022), p. 325-339. -
További szerzők:Gonda István (1947-2022) (kertészmérnök) Szabó Szilárd (1974-) (geográfus) Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:K 131478
Egyéb
TKP2020-NKA-04
Egyéb
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5.

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
Internet cím:Szerző által megadott URL
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6.

001-es BibID:BIBFORM093928
035-os BibID:(cikkazonosító)341 (WoS)000654309100001 (Scopus)85105797365
Első szerző:Ezzat, Gaballa Kassem Ahmed (agrár)
Cím:Temporal Patterns and Inter-Correlations among Physical and Antioxidant Attributes and Enzyme Activities of Apricot Fruit Inoculated with Monilinia laxa under Salicylic Acid and Methyl Jasmonate Treatments under Shelf-Life Conditions / Ahmed Ezzat, Szilárd Szabó, Zoltán Szabó, Attila Hegedűs, Dorina Berényi, Imre J. Holb
Dátum:2021
ISSN:2309-608X
Megjegyzések:Monilinia laxa causes serious postharvest damage on apricot fruits under shelf-life storage conditions. Plant elicitors of methyl jasmonate (MeJA) and salicylic acid (SA) can reduce this damage, and their research can explain the background of the plant defense physiological processes in M. laxa-infected fruits. The aims of this study were: (i) to evaluate the effect of various concentrations of MeJA and SA on brown rot incidence (BRI) and lesion diameter (LD) of apricot fruits; (ii) to measure the temporal patterns for the effect of 0.4 mmol L?1 MeJA and 2 mmol L?1 SA treatments on BRI, LD and seven fruit measures (fruit firmness (FF), lignin content (LC), total soluble phenol content (TSPC), total antioxidant capacity (TAC) and enzyme activities of PAL, POD and SOD) in treatments of M. laxa-inoculated versus (vs.) non-inoculated fruits over an eight-day shelf-life storage period; and (iii) to determine inter-correlations among the seven fruit measures for MeJA and SA treatments. Both MeJA and SA significantly reduced BRI and LD. LC, FF, TAC, TSPC, as well as SOD and PAL activities in the MeJA and SA treatments were higher than the water-treated control in most assessment days and both inoculation treatments. In both inoculation treatments, the activity of POD in the SA-treated fruits was higher than MeJA-treated and control fruits at all dates. In MeJA vs. SA and inoculated vs. non-inoculated treatments, six variable pairs (FF vs. TSPC, FF vs. TAC, TAC vs. PAL, PAL vs. POD, PAL vs. SOD, and POD vs. SOD) showed significant inter-correlation values. Principal component analyses explained 96% and 93% of the total variance for inoculated and non-inoculated treatments, respectively. In inoculated treatments, both PC1 and PC2 explained 41% of the total variance and correlated with FF, TSPC and TAC and with PAL, SOD and POD, respectively. In non-inoculated treatments, PC1 and PC2 explained 49% and 44% of the total variance and correlated with LC, PAL, POD and SOD and with FF, TSPC and TAC, respectively. It can be concluded that MeJA and SA are useful in the practice to enhance the plant defense system against brown rot by reducing fungal growth and by improving physical and antioxidant attributes (FF, LC, TAC and TSPC) and the activity of defense-related enzymes (PAL, POD and SOD) in apricot fruits during shelf-life storage conditions.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
brown rot
lesion diameter
lignin
fruit firmness
phenol content
antioxidant capacity
defense related enzymes
Pearson correlation
regression analyses
PCA
Megjelenés:Journal of Fungi. - 7 : 5 (2021), p. 1-24. -
További szerzők:Szabó Szilárd (1974-) (geográfus) Szabó Zoltán (1960-) (kertészmérnök) Hegedűs Attila Berényi Dorina Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:K 131478
OTKA
TÁMOP-4.2.4.A/2-11/1-2012-0001
TÁMOP
TKP2020-NKA-04
Egyéb
Internet cím:Szerző által megadott URL
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Intézményi repozitóriumban (DEA) tárolt változat
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7.

001-es BibID:BIBFORM089332
035-os BibID:(cikkazonosító)8071 (Scopus)85096134949 (WOS)000594158400001
Első szerző:Ezzat, Gaballa Kassem Ahmed (agrár)
Cím:Temporal Changes and Correlations between Quality Loss Parameters, Antioxidant Properties and Enzyme Activities in Apricot Fruit Treated with Methyl Jasmonate and Salicylic Acid during Cold Storage and Shelf-Life / Ahmed Ezzat, Attila Hegedűs, Szilárd Szabó, Amin Ammar, Zoltán Szabó, József Nyéki, Bianka Molnár, Imre J. Holb
Dátum:2020
ISSN:2076-3417
Megjegyzések:The apricot storability is one of the largest challenges, which the apricot industry has to face all over the world; therefore, finding options for prolonging fruit quality during cold storage (CS) and shelf-life (SL) will help to decrease postharvest losses of apricot. The aim of this apricot fruit work was to study the temporal changes and correlations of 10 quality parameters (quality losses, antioxidant properties and enzyme activities) in the postharvest treatments of methyl jasmonate (MeJA) and salicylic acid (SA) under 1 °C CS (7, 14 and 21 days) and 25 °C SL (4 and 8 days after the 21-day CS) treatments. MeJA and SA significantly decreased the quality loss of chilling injury (CI) and fruit decay (FD) at all dates for both storage conditions. MeJA- and SA-treated fruits increased total antioxidant capacity (TAC), total soluble phenolic compounds (TSPC) and carotenoids contents (TCC) at all dates of both storage treatments. In contrast, the ascorbic acid content (AAC) increased only until days 14 and 4 in the CS and SL treatments, respectively. Among enzyme activity parameters, the activities of phenylalanine ammonia-lyase (PAL), peroxidase and superoxide dismutase (SOD) were significantly increased in the MeJA and SA treatments in all dates of both storage treatments. Catalase (CAT) activity increased in the SA and control treatments, while it decreased in the MeJA treatment in both storage conditions. In both the MeJA and the SA treatments, six pair-variables (FD vs. CI, PAL vs. CAT, PAL vs. SOD, TAC vs. SOD, TAC vs. FD, and AAC vs. CI) were significant in Pearson correlation and regression analyses among the 45 parameters pairs. Principal component analyses explained 89.3% of the total variance and PC1 accounted for 55.6% of the variance and correlated with the CI, FD, TAC, TSPC, TCC, PAL and SOD, indicating strong connections among most parameters. In conclusion, MeJA and SA are practically useful and inexpensive techniques to maintain quality attributes of CI, FD, TAC, TSPC, TCC, PAL, POD and SOD in apricot fruit during both CS and SL conditions.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
apricot
methyl jasmonate
salicylic acid
antioxidant property
enzyme activity
postharvest quality
Megjelenés:Applied Sciences-Basel. - 10 : 22 (2020), p. 1-22. -
További szerzők:Hegedűs Attila Szabó Szilárd (1974-) (geográfus) Ammar, Amin Szabó Zoltán (1960-) (kertészmérnök) Nyéki József (1944-2022) (kertészmérnök) Molnár Bianka Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:NKFI K 131478
Egyéb
Bolyai János Kutatási Ösztöndíj
Egyéb
TÁMOP-4.2.4.A/2-11/1-2012-0001 A2-SZJ-TOK-13-0061
TÁMOP
Thematic Excellence Programme of the Ministry for Innovation and Technology in Hungary (ED_18-1-2019-0028)
Egyéb
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8.

001-es BibID:BIBFORM088524
Első szerző:Ezzat, Gaballa Kassem Ahmed (agrár)
Cím:A comparison of fruit and leaf parameters of apple in three orchard training systems / Ezzat Ahmed, El-Sherif Ali R., Elgear Doaa, Szabó Szilárd, Holb Imre J.
Dátum:2020
ISSN:1392-3196 2335-8947
Megjegyzések:In a two-year study, the effects of three training systems on apple fruit and leaf parameters: 9 fruit yield, 8 physico-chemical and 4 antioxidant capacity related parameters and the relationships among 11 yield quality parameters, of the apple cultivar ♭Royal Gala' were studied. In addition, light penetration into the tree canopy was determined. The investigated three training systems were Oblique Palmette (1250 trees ha-1), Bibaum (1923 trees ha-1) and Slender Spindle (1666 trees ha-1). Light penetration into the tree canopy, fruit number per tree, fruit weight, fruit yield, fruit skin colour, fruit firmness, starch index of fruit, N- and K-contents of leaves as well as ascorbic acid content, total anthocyanins and total antioxidant capacity of fruit indicated significant differences (P < 0.05) amongst the training systems, but the differences were not significant between experimental years. The Bibaum gave the highest values for light penetration into the tree canopy, fruit number per tree, fruit yield, fruit skin colour, starch index of fruit, N- and K-contents of leaves and total anthocyanins, which were significantly different from those of the Oblique Palmette or the Slender Spindle. The Slender Spindle gave the highest values for fruit weight, fruit firmness and total antioxidant capacity, which were significantly different from those of the Bibaum. Fruit of the Oblique Palmette trained trees showed the highest ascorbic acid content, which was significantly different from that of the Slender Spindle but not from the Bibaum. From the 55 correlation pairs of each training system, 27, 17 and 15 were significant at P < 0.05 in the Oblique Palmette, the Bibaum and the Slender Spindle, respectively. Only five correlation pairs were significant in all the three training systems. This study clearly demonstrated that most of the parameters were largely affected by the training systems, which may influence apple growing practices and fruit quality in a given orchard training system.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
antioxidant capacity
fruit quality parameters
light penetration
plant health status
training system
yield parameters
Megjelenés:Zemdirbyste-Agriculture. - 107 : 4 (2020), p. 373-382. -
További szerzők:El-Sherif, Ali R. Elgear, Doaa Szabó Szilárd (1974-) (geográfus) Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:NKFI K 131478
Egyéb
TÁMOP-4.2.4.A/ 2-11/1-2012-0001 National Excellence Program
TÁMOP
Thematic Excellence Programme of the Ministry for Innovation and Technology in Hungary (ED_18-1- 2019-0028)
Egyéb
Internet cím:Szerző által megadott URL
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Intézményi repozitóriumban (DEA) tárolt változat
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9.

001-es BibID:BIBFORM113915
035-os BibID:(WoS)001044509700001 (Scopus)85167334773
Első szerző:Likó Szilárd Balázs
Cím:Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree species / Szilárd Balázs Likó, Imre J. Holb, Viktor Oláh, Péter Burai, Szilárd Szabó
Dátum:2023
ISSN:2056-3485
Megjegyzések:Species composition of forests is a very important component from the point of view of nature conservation and forestry. We aimed to identify 10 tree species in a hilly forest stand using a hyperspectral aerial image with a particular focus on two invasive species, namely Ailanthus tree and black locust. Deep learning-based training data augmentation (TDA) and post-classification techniques were tested with Random Forest and Support Vector Machine (SVM) classifiers. SVM had better performance with 81.6% overall accuracy (OA). TDA increased the OA to 82.5% and post-classification with segmentation improved the total accuracy to 86.2%. The class-level performance was more convincing: the invasive Ailanthus trees were identified with 40% higher producer's and user's accuracies (PA and UA) to 70% related to the common technique (using a training dataset and classifying the trees). The PA and UA did not change in the case of the other invasive species, black locust. Accordingly, this new method identifies well Ailanthus, a sparsely distributed species in the area; while it was less efficient with black locust that dominates larger patches in the stand. The combination of the two ancillary steps of hyperspectral image classification proved to be reasonable and can support forest management planning and nature conservation in the future.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
ailanthus
black locust
Convolutional Neural Network
multiresolution segmentation
Random Forest
Support Vector Machine
Megjelenés:Remote Sensing in Ecology and Conservation. - [Epub ahead of print] (2023), p.1-17. -
További szerzők:Holb Imre (1973-) (agrármérnök) Oláh Viktor (1980-) (biológus) Burai Péter (1977-) (agrármérnök) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:K138079
Egyéb
K138503
Egyéb
K131478
Egyéb
KKP144068
Egyéb
Internet cím:Szerző által megadott URL
DOI
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Borító:

10.

001-es BibID:BIBFORM105793
035-os BibID:(cikkazonosító)20919 (WoS)000969757300056 (Scopus)85143205656
Első szerző:Likó Szilárd Balázs
Cím:Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging / Szilárd Balázs Likó, László Bekő, Péter Burai, Imre J. Holb, Szilárd Szabó
Dátum:2022
ISSN:2045-2322
Megjegyzések:Tree species' composition of forests is essential in forest management and nature conservation. We aimed to identify the tree species structure of a floodplain forest area using a hyperspectral image. We proposed an efficient novel strategy including the testing of three dimension reduction (DR) methods: Principal Component Analysis, Minimum Noise Fraction (MNF) and Indipendent Component Analysis with five machine learning (ML) algorithms (Maximum Likelihood Classifier, Support Vector Classification, Support Vector Machine, Random Forest and Artificial Neural Network) to find the most accurate outcome; altogether 300 models were calculated. Post-classification was applied by combining the multiresolution segmentation and filtering. MNF was the most efficient DR technique, and at least 7 components were needed to gain an overall accuracy (OA) of?>?75%. Forty-five models had?>?80% OAs; MNF was 43, and the Maximum Likelihood was 19 times among these models. Best classification belonged to MNF with 10 components and Maximum Likelihood classifier with the OA of 83.3%. Post-classification increased the OA to 86.1%. We quantified the differences among the possible DR and ML methods, and found that even?>?10% worse model can be found using popular standard procedures related to the best results. Our workflow calls the attention of careful model selection to gain accurate maps.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientific Reports. - 12 : 12 (2022), p. 1-14. -
További szerzők:Bekő László (1986-) (okleveles vidékfejlesztési agrármérnök) Burai Péter (1994-) (informatikus) Holb Imre (1973-) (agrármérnök) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:TKP2020-NKA-04
Egyéb
2019-2.1.1-EUREKA-2019-00005
Egyéb
NKFI-K-138079
Egyéb
NKFI Co-operative Doctoral Program of the Ministry of Innovation and Technology
Egyéb
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Intézményi repozitóriumban (DEA) tárolt változat
Borító:

11.

001-es BibID:BIBFORM088332
035-os BibID:(cikkazonosító)2786 (Scopus)85092708721 (WoS)000585255400001
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria / Safwan Mohammed, Hazem G. Abdo, Szilard Szabo, Quoc Bao Pham, Imre J. Holb, Nguyen Thi Thuy Linh, Duong Tran Anh, Karam Alsafadi, Ali Mokhtar, Issa Kbibo, Jihad Ibrahim, Jesus Rodrigo-Comino
Dátum:2020
ISSN:2073-4441
Megjegyzések:Soils in the coastal region of Syria (CRoS) are one of the most fragile components of natural ecosystems. However, they are adversely affected by water erosion processes after extreme land cover modifications such as wildfires or intensive agricultural activities. The main goal of this research was to clarify the dynamic interaction between erosion processes and different ecosystem components (inclination, land cover/land use, and rainy storms) along with the vulnerable territory of the CRoS. Experiments were carried out in five different locations using a total of 15 erosion plots. Soil loss and runoff were quantified in each experimental plot, considering different inclinations and land uses (agricultural land (AG), burnt forest (BF), forest/control plot (F)). Observed runoff and soil loss varied greatly according to both inclination and land cover after 750 mm of rainfall (26 events). In the cultivated areas, the average soil water erosion ranged between 0.14 ? 0.07 and 0.74 ? 0.33 kg/m2; in the BF plots, mean soil erosion ranged between 0.03 ? 0.01 and 0.24 ? 0.10 kg/m2. The lowest amount of erosion was recorded in the F plots where the erosion ranged between 0.1 ? 0.001 and 0.07 ? 0.03 kg/m2. Interestingly, the General Linear Model revealed that all factors (i.e., inclination, rainfall and land use) had a significant (p < 0.001) effect on the soil loss. We concluded that human activities greatly influenced soil erosion rates, being higher in the AG lands, followed by BF and F. Therefore, the current study could be very useful to policymakers and planners for proposing immediate conservation or restoration plans in a less studied area which has been shown to be vulnerable to soil erosion processes.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
soil management
land cover changes
Syria
soil erosion
hillslopes
Megjelenés:Water. - 12 : 10 (2020), p. 1-25. -
További szerzők:Abdo, Hazem Ghassan Szabó Szilárd (1974-) (geográfus) Pham, Quoc Bao Holb Imre (1973-) (agrármérnök) Linh, Nguyen Thi Thuy Anh, Duong Tran Alsafadi, Karam Mokhtar, Ali Kbibo, Issa Ibrahim, Jihad Rodrigo-Comino, Jesús
Pályázati támogatás:Tématerületi Kiválósági Program (ED_18-1-2019-0028)
Egyéb
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Intézményi repozitóriumban (DEA) tárolt változat
Borító:

12.

001-es BibID:BIBFORM087876
035-os BibID:(cikkazonosító)2529 (Scopus)85090981264 (WoS)000581970800001
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Soil Management Effects on Soil Water Erosion and Runoff in Central Syria : A Comparative Evaluation of General Linear Model and Random Forest Regression / Safwan Mohammed, Ali Al-Ebraheem, Imre J. Holb, Karam Alsafadi, Mohammad Dikkeh, Quoc Bao Pham, Nguyen Thi Thuy Linh, Szilard Szabo
Dátum:2020
ISSN:2073-4441
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Water. - 12 : 9 (2020), p. 1-19. -
További szerzők:Al-Ebraheem, Ali Holb Imre (1973-) (agrármérnök) Alsafadi, Karam Dikkeh, Mohammad Pham, Quoc Bao Linh, Nguyen Thi Thuy Szabó Szilárd (1974-) (geográfus)
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Intézményi repozitóriumban (DEA) tárolt változat
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