Search Results - "Berger, Andrés G."

  • Showing 1 - 9 results of 9
Refine Results
  1. 1

    Predicting wheat grain yield and spatial variability at field scale using a simple regression or a crop model in conjunction with Landsat images by Gaso, Deborah V., Berger, Andrés G., Ciganda, Verónica S.

    Published in Computers and electronics in agriculture (01-04-2019)
    “…•Model estimated yield was not more accurate than a simple regression estimation.•Assimilating remote sensing data into a crop model correctly estimated yield…”
    Get full text
    Journal Article
  2. 2

    Canopy active fluorescence spectrum tracks ANPP changes upon irrigation treatments in soybean crop by Romero, Juan M., Otero, Alvaro, Lagorio, M. Gabriela, Berger, Andrés G., Cordon, Gabriela B.

    Published in Remote sensing of environment (15-09-2021)
    “…Accurate estimation of aerial net primary production (ANPP) using remotely acquired data is one of the main challenges in both environmental monitoring and…”
    Get full text
    Journal Article
  3. 3

    Assessing MODIS16A2 actual evapotranspiration across three spatial resolutions in Uruguay by Navas, Rafael, Tiscornia, Guadalupe, Berger, Andrés G., Otero, Álvaro

    Published in Agrociencia Uruguay (01-01-2021)
    “…Evapotranspiration (ET) is a key process in hydrological systems and, consequently, in agroecosystems. It can be measured or derived with a large variety of…”
    Get full text
    Journal Article
  4. 4

    Influence of cultivar and environment on quality of Latin American wheats by Vázquez, Daniel, Berger, Andrés G., Cuniberti, Martha, Bainotti, Carlos, de Miranda, Martha Zavariz, Scheeren, Pedro Luiz, Jobet, Claudio, Zúñiga, Javier, Cabrera, Graciela, Verges, Rubén, Peña, Roberto Javier

    Published in Journal of cereal science (01-09-2012)
    “…Wheat consumption is growing, with processors asking for wheat-based products showing better and more consistent quality. Genotype, environment and their…”
    Get full text
    Journal Article
  5. 5
  6. 6

    Predicting within-field soybean yield variability by coupling Sentinel-2 leaf area index with a crop growth model by Gaso, Deborah V., de Wit, Allard, Berger, Andres G., Kooistra, Lammert

    Published in Agricultural and forest meteorology (15-10-2021)
    “…•An efficient soybean growth model was developed on a standardized platform (PCSE).•The model successfully simulates crop growth in response to water…”
    Get full text
    Journal Article
  7. 7

    Season-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast by Rizzo, Gonzalo, Mazzilli, Sebastian R., Ernst, Oswaldo, Baethgen, Walter E., Berger, Andres G.

    Published in Agricultural systems (01-02-2022)
    “…CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative…”
    Get full text
    Journal Article
  8. 8

    Efficiency of assimilating leaf area index into a soybean model to assess within-field yield variability by Gaso, Deborah V., de Wit, Allard, de Bruin, Sytze, Puntel, Laila A., Berger, Andres G., Kooistra, Lammert

    Published in European journal of agronomy (01-02-2023)
    “…Methods for accurately estimating within-field yield are essential to improve site-specific crop management and resource use efficiencies, which would be a…”
    Get full text
    Journal Article
  9. 9