Improving regional wheat yields estimations by multi-step-assimilating of a crop model with multi-source data
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural and Forest Meteorology"
DOI: 10.1016/j.agrformet.2020.107993
Abstract: Abstract Assimilating multi-source data into crop models is a promising way to improve crop growth simulations and yield estimations over a large area. Most of previous studies have mainly assimilated one of the observed/retrieved variables… read more here.
Keywords: assimilating crop; crop model; multi source; source data ... See more keywords
A remote sensing-based scheme to improve regional crop model calibration at sub-model component level
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural Systems"
DOI: 10.1016/j.agsy.2020.102814
Abstract: Abstract Parameter calibration is an importantly preliminary step before using a crop model to simulate crop growth and final yield. Compared with the traditionally accepted calibration method parameterizing the whole model simultaneously (called as “Global… read more here.
Keywords: crop model; model; calibration; smc scheme ... See more keywords
A review of tef physiology for developing a tef crop model
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Agronomy"
DOI: 10.1016/j.eja.2018.01.008
Abstract: Abstract Tef (Eragrostis tef (Zucc.) Trotter) is important for Ethiopian food security and a significant source of income for smallholder farmers in Ethiopia. In industrialized nations, tef is becoming a popular health food due to… read more here.
Keywords: tef crop; crop model; model; physiology ... See more keywords
A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging
Sign Up to like & getrecommendations! Published in 2017 at "Field Crops Research"
DOI: 10.1016/j.fcr.2017.06.011
Abstract: Abstract Process-based crop models are popular tools to evaluate the impact of climate change and agricultural management on crop growth. Accurate simulation of crop production over large geographic regions using an individual crop model remains… read more here.
Keywords: bayesian model; crop model; model averaging; model ... See more keywords
Evaluating the impact of using digital soil mapping products as input for spatializing a crop model: The case of drainage and maize yield simulated by STICS in the Berambadi catchment (India)
Sign Up to like & getrecommendations! Published in 2022 at "Geoderma"
DOI: 10.1016/j.geoderma.2021.115503
Abstract: Abstract Digital Soil Mapping (DSM) can be an alternative data source for spatializing crop models over large areas. The objective of the paper was to evaluate the impact of DSM products and their uncertainties on… read more here.
Keywords: digital soil; soil parameters; crop model; soil ... See more keywords
Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2020ms002394
Abstract: The interactions between crops and the atmosphere significantly impact surface energy and hydrology budgets, climate, crop yield, and agricultural management. In this study, a multipass land data assimilation scheme (MLDAS) is proposed based on the… read more here.
Keywords: crop; noah crop; soil moisture; crop model ... See more keywords
Introducing a drought index to a crop model can help to reduce the gap between the simulated and statistical yield
Sign Up to like & getrecommendations! Published in 2018 at "Atmospheric and Oceanic Science Letters"
DOI: 10.1080/16742834.2018.1483695
Abstract: ABSTRACT A well-established and pre-calibrated crop model can normally represent the overall characteristics of crop growth and yield. However, it can hardly include all relevant factors that affect the yield, and usually overestimates the crop… read more here.
Keywords: crop model; drought index; model; yield ... See more keywords
Integrated Assessment of Climate Change Impacts on Corn Yield in the U.S. Using a Crop Model
Sign Up to like & getrecommendations! Published in 2017 at "Transactions of the ASABE"
DOI: 10.13031/trans.12314
Abstract: A detailed analysis was conducted of the effects of climate change and increased carbon dioxide (CO2) concentrations on corn yield in the U.S. with a crop model using outputs from multiple general circulation models (multi-GCMs).… read more here.
Keywords: crop model; corn yield; yield; climate change ... See more keywords
Evaluating RZWQM2-CERES-Maize and Water Production Functions for Predicting Irrigated Maize Yield and Biomass in Eastern Colorado
Sign Up to like & getrecommendations! Published in 2019 at "Transactions of the ASABE"
DOI: 10.13031/trans.13045
Abstract: Abstract. Complex crop models have been developed to simulate the interactions among biophysical processes and to extend experimental results beyond the local soil and climate conditions. However, in-depth studies on a model’s capability to predict… read more here.
Keywords: crop; water; ceres maize; yield ... See more keywords