GOSSYM is a comprehensive crop growth model that has been continuously developed since the late 1970s and widely applied to assist cotton growers, crop consultants, and researchers. The state-of-art CWRF (Climate-Weather Research and Forecasting model) demonstrated skillful simulations of regional water and energy cycle processes that are keenly important to cotton growth. This study focuses on...

In this study, we applied version 4.5 of the Community Land Model (CLM) at a 0.1258 resolution to provide the first county-scale model validation for simulating crop yields over the Conterminous United States (CONUS). Large bias was found in simulating crop yields against U.S. Department of Agriculture (USDA) survey data, with county-level root-mean-square error (RMSE) of 42% and 38% for simula...

CropMetaPop is a new simulation tool to model the genetic evolution of crop diversity under on-farm dynamic management. Under this type conservation and use varieties, seeds are resown exchanged between farmers set connected populations described as metapopulation. therefore at interface social processes. We used sensitivity analyses check behaviour identify which parameters range values for th...

Abstract The future of sustainable development is the bioeconomy with both global and local renewable energy solutions. updated Bioeconomy Strategy Green Deal serves as prove European Commission commitment for transformation towards a climate-neutral Union. This process characterized an enormous complexity should be studied thoroughly designing transition pathways. Scientifically sound methods ...

Remote sensing (RS) data acquired by satellite have wide scope for agricultural applications owing to their synoptic and repetitive coverage. On the one hand, spectral indices deduced from visible and near-infrared RS data have been extensively used for crop characterization, biomass estimation and crop yield monitoring and forecasting. On the other hand, extensive research has been conducted u...

Understanding of the timing, orientation and transmission mode of crop disease spread is very important in prevention and treatment of crop diseases, especially for crossborder crop diseases. In this paper, we introduced the complex network approach to model trans-boundary spread of diseases. In the model, the process of crop disease spread is characterized as a network, where patches of crop p...

Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits sitespecific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propa...

Estimates of climate change impacts are often characterized by large uncertainties that reflect ignorance of many physical, biological, and socio-economic processes, and which hamper efforts to anticipate and adapt to climate change. A key to reducing these uncertainties is improved understanding of the relative contributions of individual factors. We evaluated uncertainties for projections of ...

In this work, applications of the coupled solid set sprinkler irrigation and crop model AdorSim introduced in the companion paper are presented. The sprinkler irrigation model is based on ballistic theory, while the crop model is based on CropWat. AdorSim was used to evaluate the effect of sprinkler spacing on seasonal irrigation water use (WU) and crop yield. The most relevant results were rel...