Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vita Antoniuk"'
Publikováno v:
Sensors, Vol 23, Iss 4, p 1903 (2023)
Agricultural droughts cause a great reduction in winter wheat productivity; therefore, timely and precise irrigation recommendations are needed to alleviate the impact. This study aims to assess drought stress in winter wheat with the use of an unman
Externí odkaz:
https://doaj.org/article/41d03c3dc7184579b8d8ae23723035aa
Autor:
Vita Antoniuk, Kiril Manevski, Kirsten Kørup, Rene Larsen, Inge Sandholt, Xiying Zhang, Mathias Neumann Andersen
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2998 (2021)
Precision irrigation is a promising method to mitigate the impacts of drought stress on crop production with the optimal use of water resources. However, the reliable assessment of plant water status has not been adequately demonstrated, and unmanned
Externí odkaz:
https://doaj.org/article/8126daa785d648aa964903cb40461120
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 95 (2019)
Compared to conventional laboratory testing methods, crop nitrogen estimation methods based on canopy spectral characteristics have advantages in terms of timeliness, cost, and practicality. A variety of rapid and non-destructive estimation methods b
Externí odkaz:
https://doaj.org/article/033b33a29bb24ab8b729cdb8e7d84068
Autor:
Kirsten Kørup, Vita Antoniuk, Rene Larsen, Inge Sandholt, Xiying Zhang, Kiril Manevski, Mathias Neumann Andersen
Publikováno v:
Remote Sensing
Volume 13
Issue 15
Pages: 2998
Antoniuk, V, Manevski, K, Sørensen, K K, Larsen, R, Sandholdt, I, Zhang, X & Andersen, M N 2021, ' Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System : A Case Study for Winter Wheat in Denmark ', Remote Sensing, vol. 13, no. 15, 2998 . https://doi.org/10.3390/rs13152998
Remote Sensing, Vol 13, Iss 2998, p 2998 (2021)
Antoniuk, V, Manevski, K, Kørup, K, Larsen, R, Sandholt, I, Zhang, X & Andersen, M N 2021, ' Diurnal and seasonal mapping of water deficit index and evapotranspiration by an unmanned aerial system : A case study for winter wheat in denmark ', Remote Sensing, vol. 13, no. 15, 2998 . https://doi.org/10.3390/rs13152998
Volume 13
Issue 15
Pages: 2998
Antoniuk, V, Manevski, K, Sørensen, K K, Larsen, R, Sandholdt, I, Zhang, X & Andersen, M N 2021, ' Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System : A Case Study for Winter Wheat in Denmark ', Remote Sensing, vol. 13, no. 15, 2998 . https://doi.org/10.3390/rs13152998
Remote Sensing, Vol 13, Iss 2998, p 2998 (2021)
Antoniuk, V, Manevski, K, Kørup, K, Larsen, R, Sandholt, I, Zhang, X & Andersen, M N 2021, ' Diurnal and seasonal mapping of water deficit index and evapotranspiration by an unmanned aerial system : A case study for winter wheat in denmark ', Remote Sensing, vol. 13, no. 15, 2998 . https://doi.org/10.3390/rs13152998
Precision irrigation is a promising method to mitigate the impacts of drought stress on crop production with the optimal use of water resources. However, the reliable assessment of plant water status has not been adequately demonstrated, and unmanned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d732dd258c634e3aaaf15b38e9ae6d75
Publikováno v:
Remote Sensing; Volume 12; Issue 1; Pages: 95
Li, H, Zhang, Y, Lei, Y, Antoniuk, V & Hu, C 2020, ' Evaluating different non-destructive estimation methods for winter wheat (Triticum aestivum L.) nitrogen status based on canopy spectrum ', Remote Sensing, vol. 12, no. 1, 95 . https://doi.org/10.3390/RS12010095
Remote Sensing, Vol 12, Iss 1, p 95 (2019)
Li, H, Zhang, Y, Lei, Y, Antoniuk, V & Hu, C 2020, ' Evaluating different non-destructive estimation methods for winter wheat (Triticum aestivum L.) nitrogen status based on canopy spectrum ', Remote Sensing, vol. 12, no. 1, 95 . https://doi.org/10.3390/RS12010095
Remote Sensing, Vol 12, Iss 1, p 95 (2019)
Compared to conventional laboratory testing methods, crop nitrogen estimation methods based on canopy spectral characteristics have advantages in terms of timeliness, cost, and practicality. A variety of rapid and non-destructive estimation methods b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d32b1a0ea385815c7b2341ebb457cf
Publikováno v:
Aarhus University
Antoniuk, V, Peng, J, Andersen, M N & Manevski, K 2022, Multi-platform remote sensing of nitrogen status and leaching from agricultural fields with random forest regression approach . in L Lassaletta, A Sanz-Cobeña, C Pinsard & S Garde (eds), Proceedings of the XXI International Nitrogen Workshop. Halving nitrogen waste by 2030 . CEPADE-Universidad Politecnica de Madrid, pp. 173, The XXI International Nitrogen Workshop. Halving nitrogen waste by 2030., Madrid, Spain, 24/10/2022 . < https://oa.upm.es/72085/1/Abstract_Book_N_workshop_v221116_DEF.pdf >
Antoniuk, V, Peng, J, Andersen, M N & Manevski, K 2022, Multi-platform remote sensing of nitrogen status and leaching from agricultural fields with random forest regression approach . in L Lassaletta, A Sanz-Cobeña, C Pinsard & S Garde (eds), Proceedings of the XXI International Nitrogen Workshop. Halving nitrogen waste by 2030 . CEPADE-Universidad Politecnica de Madrid, pp. 173, The XXI International Nitrogen Workshop. Halving nitrogen waste by 2030., Madrid, Spain, 24/10/2022 . < https://oa.upm.es/72085/1/Abstract_Book_N_workshop_v221116_DEF.pdf >
Advances in satellite- and drone-based technologies, such as increased spatio-temporal and spectral resolution, in combination with improved computational algorithms, including machine learning, have proven to be useful tools altogether in assessing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0f1f59a7e06fd3738fd9e31db5cee823
https://pure.au.dk/portal/en/publications/multiplatform-remote-sensing-of-nitrogen-status-and-leaching-from-agricultural-fields-with-random-forest-regression-approach(96f8460f-f6d7-40ea-95bc-8fbb339f0813).html
https://pure.au.dk/portal/en/publications/multiplatform-remote-sensing-of-nitrogen-status-and-leaching-from-agricultural-fields-with-random-forest-regression-approach(96f8460f-f6d7-40ea-95bc-8fbb339f0813).html
Autor:
Vita Antoniuk, Kirsten Kørup Sørensen, Junxiang Peng, Rene Larsen, Kiril Manevski, Mathias Neumann Andersen
Publikováno v:
Aarhus University
Antoniuk, V, Peng, J, Manevski, K, Sørensen, K K, Larsen, R & Andersen, M N 2021, ' Understanding drought stress in winter wheat using UAV thermal and multispectral data ', EGU General Assembly 2020, 04/05/2020-08/05/2020 .
Antoniuk, V, Peng, J, Manevski, K, Sørensen, K K, Larsen, R & Andersen, M N 2021, ' Understanding drought stress in winter wheat using UAV thermal and multispectral data ', EGU General Assembly 2020, 04/05/2020-08/05/2020 .
This abstract is for SUPPORT APPLICATION.Drought is the most significant stress that reduces crop yield, hence, agricultural irrigation is the major consumer of freshwater worldwide. There is everlasting need to improve irrigation applications in ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d670b412aedae159524109bbb5693211
https://pure.au.dk/portal/en/publications/understanding-drought-stress-in-winter-wheat-using-uav-thermal-and-multispectral-data(d90efb4e-eab7-4607-b543-2e5005c3dda6).html
https://pure.au.dk/portal/en/publications/understanding-drought-stress-in-winter-wheat-using-uav-thermal-and-multispectral-data(d90efb4e-eab7-4607-b543-2e5005c3dda6).html
Publikováno v:
Aarhus University
Andersen, M N, Peng, J, Antoniuk, V, Sørensen, K K, Larsen, R & Manevski, K 2021, ' Remote sensing methods for monitoring crop nitrogen and water status ', Germany meets Denmark, 22/09/2021-24/09/2021 pp. 12-12 .
Andersen, M N, Peng, J, Antoniuk, V, Sørensen, K K, Larsen, R & Manevski, K 2021, ' Remote sensing methods for monitoring crop nitrogen and water status ', Germany meets Denmark, 22/09/2021-24/09/2021 pp. 12-12 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d554a742751056afe4fc3897646305b1
https://pure.au.dk/portal/en/publications/remote-sensing-methods-for-monitoring-crop-nitrogen-and-water-status(eb82d6ee-e519-4071-b08b-8362d0de58e5).html
https://pure.au.dk/portal/en/publications/remote-sensing-methods-for-monitoring-crop-nitrogen-and-water-status(eb82d6ee-e519-4071-b08b-8362d0de58e5).html