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1.

001-es BibID:BIBFORM114676
Első szerző:Nagy Attila (környezetgazdálkodási agrármérnök)
Cím:UAV-based Data in Precisional Irrigation Monitoring / Attila Nagy, Andrea Szabó, Erika Buday-Bódi, Zsolt Zoltán Fehér, János Tamás
Dátum:2023
ISBN:978-963-490-535-6
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:Sustainable and Innovative Solutions in Agriculture and Food Industry (SISAF'23) One Health approach / szerk. Veress Szilvia, Kocsisné Papp Mariett. - p. 35. -
További szerzők:Szabó Andrea (1994-) (környezetgazdálkodási agrármérnök) Bódi Erika (1989-) (geológus, geográfus) Fehér Zsolt Zoltán (1984-) (geoinformatika) Tamás János (1959-) (környezetgazdálkodási agrármérnök)
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2.

001-es BibID:BIBFORM112480
Első szerző:Nagy Attila (környezetgazdálkodási agrármérnök)
Cím:Assessment of UAV-based LiDAR and photogrammetry data in crop morphology monitoring for advanced irrigation / Attila Nagy; Erika Buday-Bódi; Andrea Szabó; Zsolt Zoltán Fehér; János Tamás
Dátum:2023
Megjegyzések:Most of the climate scenarios forecast increased water scarcity in semi-arid and arid areas, such as Hungary. Since only 2% of Hungary`s agricultural land is irrigated where mostly outdated irrigation technology is applied, there is a huge need for act to enhance advanced irrigation. The general aim of the present research was to develop the basis of variable rate irrigation for a water-saving precision sprinkler irrigation system on an maize site (85 ha) located in the reference area of the Tisza River Basin. There are limited available water resources at the site, therefore alternative water sources utilization system was set up for irrigation to adapt to climate change and reduce fertilizers. As the alternative water resource for irrigation, inland excess water, treated wastewater, and biogas fermentation sludge are collected in a water reservoir with a capacity of 114,000 m3 . For proper irrigation scheduling, heterogeneity of topography, hydrological, soil and crop conditions have to be explored and monitored. For this reason, UAV-based surveys were carried out with high spatial and temporal resolution by which DEM, DSM, multispectral vegetation data was conducted both on irrigated and non-irrigated parts of a maize field in Hungary this site. Supplementing these data with physically based modelling of the soil and crop status, and the water balance surveying is tested to use for accurate irrigation scheduling. In the surveys we used a DJI Matrice 300 RTK UAV drone equipped with a Zenmuse L1 LiDAR payload with integrated RGB Surveying Solution and a DJI Zenmuse H20T thermal camera, which measures in the spectral range from 8000 to 14,000 nm. A DJI Mavic 2 Zoom drone equipped with a Sentera Double 4K sensor that can calculate NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red-Edge Index) by filtering out red and NIR wavelengths was used for the multispectral research. These data enables the monitoring of crop height and biomass and the assessment of the thermal properties and the photosynthetic activity of the crop, respectively. A crucial work phase is the data management of these remotely sensed data by which we gain point-cloud and raster from semi-raw formats and photogrammetry analysis can commence. For validation, the results of field measurements for crop height, general status and chlorophyll content were applied by virtue of the high spatial resolution provided by the sensors. Based on the results, the considerable relation was found between the field and RS based data to survey the surface, the height and health status of the maize, which contributes to the mapping of a proper vegetation patterns fostering variable rate irrigation prescription maps. The abstract was funded by European Union`s Horizon 2020 ?WATERAGRI Water retention and nutrient recycling in soils and steams for improved agricultural production" research and innovation programme under Grant Agreement No. 858375. This research was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:EGU Gallileo Conferences : A European vision for hydrological observations and experimentation. - p. GC8-Hydro-103
További szerzők:Bódi Erika (1989-) (geológus, geográfus) Szabó Andrea (1994-) (környezetgazdálkodási agrármérnök) Fehér Zsolt Zoltán (1984-) (geoinformatika) Tamás János (1959-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:European Union's Horizon 2020 "WATERAGRI Water retention and nutrient recycling in soils and steams for improved agricultural production" research and innovation programme under Grant Agreement No. 858375
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3.

001-es BibID:BIBFORM112469
Első szerző:Nagy Attila (környezetgazdálkodási agrármérnök)
Cím:Management of alternative water resources for variable rate irrigation - a Hungarian case study / Attila Nagy, Zsolt Zoltán Fehér, Andrea Szabó, Erika Buday-Bódi, Tamás Magyar, János Tamás
Dátum:2023
Megjegyzések:Most of the climate scenarios predict increased water scarcity in arid areas, such as Hungary. However, the irrigated area in Hungary covers 2% of agricultural land, mostly with outdated irrigation technology. The aim of the research was to develop the basis of a variable rate irrigation for water-saving precision sprinkler irrigation system on an arable area (85 ha) which is located in the reference area of the Tisza Riven Basin. There is limited available water resources at the site, therefore alternative water sources utilization system was set up for irrigation to adapt to climate change and reduce fertilizers. The basis of the alternative water resources are excess water, treated wastewater, biogas fermentation sludge which is collected in a water reservoir with 114000 m3 capacity. For proper irrigation scheduling, heterogeneity of topography, hydrological, soil and crop conditions has to be explored and monitored. Therefore physically-based modelling of the water balance and remote sensing-based surplus water and vegetation status surveying are tested to use for accurate irrigation scheduling. Shallow groundwater and/or soil compaction can also contribute to excess inland water. This may occur even if there are drought periods in a year (e.g. in the Pannonian region), resulting in spots with a low crop yield. A LiDAR-based digital elevation model was found to provide appropriate data to identify sites affected by excess inland water. The spots identified can be used as spatial input data to compile a variable rate irrigation prescription map for imposing reduced (or zero) irrigation at areas more vulnerable to the occurrence of excess inland water. The water balance was also assessed for sites with physically-based models. Hydrus was used to model soil moisture changes at the Hungarian case study site. A model concept for crop evapotranspiration estimation was also developed based on vegetation indices calculated from satellite imagery. Several combinations of sensors and remote sensing products were tested to use in ETc modelling potentially. This approach was tested both at the Hungarian case study sites. Remote sensing-based analysis of crop evapotranspiration, combined with physically-based modelling, appears to be a promising method in water balance modelling of maize fields, especially if these fields are in summer when the crop is fully developed. However, the remotely sensed information verification is essential for the proper utilization of the remote sensing data in ETc modelling and predicting the spatio-temporal dynamics of crop yield, evapotranspiration, and irrigation demands. There is a need further benchmark scenarios to improve both physically-based models and satellite-based crop evapotranspiration models to achieve more accurate and valid simulations.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:EGU General Assembly 2023 : HS5.3 : Strategies for allocations of scarce water resources and technologies for improving water productivity in agriculture : Posters on site. - p. EGU23-5592
További szerzők:Fehér Zsolt Zoltán (1984-) (geoinformatika) Szabó Andrea (1994-) (környezetgazdálkodási agrármérnök) Bódi Erika (1989-) (geológus, geográfus) Magyar Tamás (1987-) (környezetmérnök) Tamás János (1959-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:European Union's Horizon 2020 "WATERAGRI Water retention and nutrient recycling in soils and steams for improved agricultural production" research and innovation programme under Grant Agreement No. 858375.
Egyéb
Bolyai János Kutatási Ösztöndíj
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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4.

001-es BibID:BIBFORM120698
Első szerző:Nxumalo, Gift (Mezőgazdasági vízgazdálkodási mérnök, PhD student)
Cím:Optimizing of alternative water resources reutilization on extreme sandy soil / Gift Nxumalo, Nikolett Éva Kiss, Zsolt Zoltán Fehér, Tamás Magyar, Erika Budayné Bódi, Andrea Szabó, Dávid Pásztor, János Tamás, Attila Nagy
Dátum:2024
Tárgyszavak:Természettudományok Környezettudományok előadáskivonat
könyvrészlet
alternative water resources
maize
satellites
drones
Megjelenés:EGU General Assembly 2024 : SSS9.10 : Novel monitoring techniques and modeling tools to assess soil health for resilient management of soil and water resources in agroecosystems. / co-organized by Session SSS9.10. - p. 1.(EGU24-18763)
További szerzők:Kiss Nikolett Éva (1992-) (Környezetgazdálkodási agrármérnök) Fehér Zsolt Zoltán (1984-) (geoinformatika) Magyar Tamás (1987-) (környezetmérnök) Bódi Erika (1989-) (geológus, geográfus) Szabó Andrea (1994-) (környezetgazdálkodási agrármérnök) Pásztor Dávid (1996-) (Okleveles Mezőgazdasági vízgazdálkodási mérnök) Tamás János (1959-) (környezetgazdálkodási agrármérnök) Nagy Attila (1982-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
Bolyai János Kutatási Ösztöndíj
Egyéb
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