Dr Sedar Olmez FRGS

Available via institutional email address

Social Digital Twin - Converging Technologies

Fujitsu Research of Europe

2nd Floor (West), The Urban Building, 3-9 Albert Street, Slough, England, SL1 2BE

Application of Statistical Modelling to a Field Experiment Database to Predict N 2 O Emissions in Sugarcane Production

Conference paper

Marcelo Valadares Galdos, Johnny Soares, Sedar Olmez, Vitor Vargas, Iracema Degaspari, Janaina Braga do Carmo, Heitor Cantarella
AGU Fall Meeting Abstracts, vol. 2019, 2019, pp. GC31J--1345

Webpage

Cite

APA Click to copy
Galdos, M. V., Soares, J., Olmez, S., Vargas, V., Degaspari, I., do Carmo, J. B., & Cantarella, H. (2019). Application of Statistical Modelling to a Field Experiment Database to Predict N 2 O Emissions in Sugarcane Production. In AGU Fall Meeting Abstracts (Vol. 2019, pp. GC31J–1345).

Chicago/Turabian Click to copy
Galdos, Marcelo Valadares, Johnny Soares, Sedar Olmez, Vitor Vargas, Iracema Degaspari, Janaina Braga do Carmo, and Heitor Cantarella. “Application of Statistical Modelling to a Field Experiment Database to Predict N 2 O Emissions in Sugarcane Production.” In AGU Fall Meeting Abstracts, 2019:GC31J–1345, 2019.

MLA Click to copy
Galdos, Marcelo Valadares, et al. “Application of Statistical Modelling to a Field Experiment Database to Predict N 2 O Emissions in Sugarcane Production.” AGU Fall Meeting Abstracts, vol. 2019, 2019, pp. GC31J–1345.

BibTeX Click to copy

@inproceedings{galdos2019a,
  title = {Application of Statistical Modelling to a Field Experiment Database to Predict N 2 O Emissions in Sugarcane Production},
  year = {2019},
  pages = {GC31J--1345},
  volume = {2019},
  author = {Galdos, Marcelo Valadares and Soares, Johnny and Olmez, Sedar and Vargas, Vitor and Degaspari, Iracema and do Carmo, Janaina Braga and Cantarella, Heitor},
  booktitle = {AGU Fall Meeting Abstracts}
}

@INPROCEEDINGS{2019AGUFMGC31J1345G,
       author = {{Galdos}, M.~V. and {Soares}, J. and {Olmez}, S. and {Vargas}, 
        V. and {Degaspari}, I. and {do Carmo}, J.~B. and {Cantarella}, H.},
        title = "{Application of Statistical Modelling to a Field Experiment 
            Database to Predict N$_{2}$O Emissions in Sugarcane Production}",
     keywords = {0402 Agricultural systems, BIOGEOSCIENCES, 0414 Biogeochemical 
        cycles, processes, and modeling, BIOGEOSCIENCES, 1630 Impacts of global 
        change, GLOBAL CHANGE, 1803 Anthropogenic effects, HYDROLOGY},
    booktitle = {AGU Fall Meeting Abstracts},
         year = 2019,
       volume = {2019},
        month = dec,
          eid = {GC31J-1345},
        pages = {GC31J-1345},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019AGUFMGC31J1345G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}