Practices for upscaling crop simulation models from field scale to large regions
VS Manivasagam, O Rozenstein - Computers and Electronics in Agriculture, 2020 - Elsevier
Most crop models were developed and tested in homogeneous field conditions. However,
these crop models are increasingly applied beyond the field scale for larger regions …
these crop models are increasingly applied beyond the field scale for larger regions …
Modelling climate change impacts on maize
Numerous modelling efforts have focused on maize as it is an important cereal crop for both
human consumption and livestock production. Crop simulation and multi-linear regressions …
human consumption and livestock production. Crop simulation and multi-linear regressions …
Soil properties modulate actual evapotranspiration and precipitation impacts on crop yields in the USA
Crop yields are affected by hydroclimatic and edaphic conditions, but their interacting roles
are often neglected when assessing crop yields at the regional scale. Moreover, often used …
are often neglected when assessing crop yields at the regional scale. Moreover, often used …
Effects of soil-and climate data aggregation on simulated potato yield and irrigation water requirement
Input data aggregation affects crop model estimates at the regional level. Previous studies
have focused on the impact of aggregating climate data used to compute crop yields …
have focused on the impact of aggregating climate data used to compute crop yields …
Prediction of maize yield at the city level in China using multi-source data
X Chen, L Feng, R Yao, X Wu, J Sun, W Gong - Remote Sensing, 2021 - mdpi.com
Maize is a widely grown crop in China, and the relationships between agroclimatic
parameters and maize yield are complicated, hence, accurate and timely yield prediction is …
parameters and maize yield are complicated, hence, accurate and timely yield prediction is …
SIMPLACE—a versatile modelling and simulation framework for sustainable crops and agroecosystems
Agricultural system analysis has considerably evolved over the last years, allowing scientists
to quantify complex interactions in crops and agroecosystems. Computer-based models …
to quantify complex interactions in crops and agroecosystems. Computer-based models …
Coupling crop and bio-economic farm modelling to evaluate the revised fertilization regulations in Germany
Abstract The German Fertilization Ordinance, implementing mainly the EU Nitrates Directive,
was revised in 2017. We couple the bio-economic farm model FarmDyn and the crop system …
was revised in 2017. We couple the bio-economic farm model FarmDyn and the crop system …
New approaches for the assimilation of LAI measurements into a crop model ensemble to improve wheat biomass estimations
A Tewes, H Hoffmann, G Krauss, F Schäfer, C Kerkhoff… - Agronomy, 2020 - mdpi.com
The assimilation of LAI measurements, repeatedly taken at sub-field level, into dynamic crop
simulation models could provide valuable information for precision farming applications …
simulation models could provide valuable information for precision farming applications …
Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison
Agroecosystem models need to reliably simulate all biophysical processes that control crop
growth, particularly the soil water fluxes and nutrient dynamics. As a result of the erosion …
growth, particularly the soil water fluxes and nutrient dynamics. As a result of the erosion …
Impact of coupled input data source-resolution and aggregation on contributions of high-yielding traits to simulated wheat yield
High-yielding traits can potentially improve yield performance under climate change.
However, data for these traits are limited to specific field sites. Despite this limitation, field …
However, data for these traits are limited to specific field sites. Despite this limitation, field …