Early ancestors of crop simulation models (De Wit, 1965; Monteith, 1965; Duncan et al., 1967) were born before primitive personal computers were available (e.g. Apple II released in 1977, IBM PC released in 1981). Paleo-computer programs were run in mainframes with the support of punch cards. As computers became more available and powerful, crop models evolved into sophisticated tools summarizing our understanding of how crops operate. This evolution was triggered by the need to answer new scientific questions and improve the accuracy of model simulations, especially under limiting conditions
The process of crop modelling to develop operational software requires different skills, from concep...
A number of crucial decisions face the plant breeder in developing improved cultivars. Because of th...
To what extent can breeding gains be achieved at a pace to contribute to climate change adaptation a...
The Journal of Agricultural Science, Cambridge has been a fixture in dissemination of crop simulatio...
In recent years crop–soil simulation models have gained acceptance in agricultural research and dev...
The process of crop modelling to develop operational software requires different skills, from concep...
Crop growth models developed at field level are increasingly used in larger scale studies often in c...
Crop models simulate growth and development and they are often used for climate change applications....
Simulation modeling is an approach that describes processes of crop growth, development, and yield f...
Recently, the scale of interest for application of crop growth models has extended to the region or ...
To help agricultural advisors to propose innovative crop management systems, simulation models can b...
Not AvailableThis is the reproduction of an observed phenomenon (e.g., growth of biomass with time;...
o improve climate change impact estimates and to quantify their uncertainty, multi-model ensembles (...
Simulation models of crops are referred as an efficient complement for the experimental study. Also ...
Crop growth models help to formalize expert knowledge to assess and design cropping systems with mul...
The process of crop modelling to develop operational software requires different skills, from concep...
A number of crucial decisions face the plant breeder in developing improved cultivars. Because of th...
To what extent can breeding gains be achieved at a pace to contribute to climate change adaptation a...
The Journal of Agricultural Science, Cambridge has been a fixture in dissemination of crop simulatio...
In recent years crop–soil simulation models have gained acceptance in agricultural research and dev...
The process of crop modelling to develop operational software requires different skills, from concep...
Crop growth models developed at field level are increasingly used in larger scale studies often in c...
Crop models simulate growth and development and they are often used for climate change applications....
Simulation modeling is an approach that describes processes of crop growth, development, and yield f...
Recently, the scale of interest for application of crop growth models has extended to the region or ...
To help agricultural advisors to propose innovative crop management systems, simulation models can b...
Not AvailableThis is the reproduction of an observed phenomenon (e.g., growth of biomass with time;...
o improve climate change impact estimates and to quantify their uncertainty, multi-model ensembles (...
Simulation models of crops are referred as an efficient complement for the experimental study. Also ...
Crop growth models help to formalize expert knowledge to assess and design cropping systems with mul...
The process of crop modelling to develop operational software requires different skills, from concep...
A number of crucial decisions face the plant breeder in developing improved cultivars. Because of th...
To what extent can breeding gains be achieved at a pace to contribute to climate change adaptation a...