CropML (Crop Model Library) is a framework-independent, software component implementing a variety of approaches for crop growth and development. Like CaneML (Cane Model Library) nad TreeML (Tree Model Library), models are implemented using a fine granularity, and they are also used in composite structures which can be used as crop simulation models in applications. The architecture used for implementing modelling approaches and the fine granularity allow either using existing models or building new ones via hybridization of available approaches.

The models currently available in CropML are:
- CropSyst (Stöckle et al., 2003),
- WARM (Confalonieri et al., 2009),
- STICS (Brisson et al., 2008),
- WOFOST (original version) (van Keulen et al., 1986),
- WOFOST-GT (about 60% less parameters because of the elimination of AFGEN tables) (Stella et al., 2014),
- WOFOST-GT2 (extention of -GT: it includes an improved representation of canopy structure) (Stella et al., 2014).

The component is distributed free of charge for non-commercial purposes with a dedicated software development kit (SDK), and can be used by modellers and developers in their own applications. SDK includes documentation of code and algorithms, as well as sample projects showing how to use the component and how to link it with others for, e.g., soil water balance, diseases, abiotic damages.


Brisson, N., Launay, M., Mary, B., Beaudoin, N., 2008. Conceptual Basis, Formalisationsand Parameterization of the STICS Crop Model. Éditions Quæ, Versailles, France,pp. 297.

Confalonieri, R., Acutis, M., Bellocchi, G., Donatelli, M., 2009a. Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice. Ecol. Model. 220, 1395e1410.

Stella, T., Frasso, N., Negrini, G., Bregaglio, S., Cappelli, G., Acutis, M., Confalonieri, R., 2014. Model simplification and development via reuse, sensitivity analysis and composition: a case study in crop modelling. Environ. Model. Softw. 59, 44-58.

Stöckle, C.O., Donatelli, M.,Nelson, R., 2003. CropSyst, a cropping systems simulation model. Eur. J. Agron. 18, 289–307.

van Keulen, H., Wolf, J., 1986. Modelling of agricultural production: weather soils and crops. In: Simulation Monographs. Pudoc, Wageningen, The Netherlands, p. 479.

Product Manager: Carlo Gilardelli
Online Code doc:
Online Help:
Application file: request a download link providing your email below.

European Commission, Joint Research Centre, AGRI4CAST
CRA - Consiglio per la Ricerca e la Sperimentazione in Agricoltura (Italy)

2016 - Ecological Modelling, 320, 366-371
A model to simulate the dynamics of carbohydrate remobilization during rice grain filling.
Stella, T., Bregaglio, S., Confalonieri, R.

2016 - European Journal of Agronomy, 76, 107-117
Coupling a generic disease model to the WARM rice simulator to assess leaf and panicle blast impacts in temperate climate.
Bregaglio, S., Titone, P., Cappelli, G., Tamborini, L., Mongiano, G., Confalonieri, R.

2015 - Climatic Change, 132, 661-675
District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios.
Paleari, L., Cappelli, G., Bregaglio, S., Acutis, M., Donatelli, M., Sacchi, G.A., Lupotto, E., Boschetti, M., Manfron, G., Confalonieri, R.

2015 - Agronomy for Sustainable Development, 35, 157-167
New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco.
Bregaglio, S., Frasso, N., Pagani, V., Stella, T., Francone, C., Cappelli, G., Acutis, M., Balaghi, R., Ouabbou, H., Paleari, L., Confalonieri, R.

2015 - Agricultural and Forest Meteorology, 214-215, 483-493
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration.
Makowski, D., Asseng, S., Ewert, F., ... , Confalonieri, R., ... , Zhu, Y.

2015 - Biomass & Bioenergy, 80, 85-93
Are advantages from partial replacement of corn with second generation energy crops undermined by climate change? A case study for giant reed in Northern Italy
Cappelli, G., Yamaç, S.S., Stella, T., Francone, C., Paleari, L., Negri, M., Confalonieri, R.

2014 - Environmental Modelling & Software, 62, 478-486
A generic framework for evaluating hybrid models by reuse and composition - a case study on soil temperature simulation.
Donatelli, M., Bregaglio, S., Confalonieri, R., De Mascellis, R., Acutis, M.

2014 - Environmental Modelling & Software, 59, 44-58
Model simplification and development via reuse, sensitivity analysis and composition: a case study in crop modelling.
Stella, T., Frasso, N., Negrini, G., Bregaglio, S., Cappelli, G., Acutis, M., Confalonieri, R.

2014 - European Journal of Agronomy, 59, 78-85
Evaluation of WARM for different establishment techniques in Jiangsu (China).
Pagani, V., Francone, C., ZhiMingWang, Qiu, L., Bregaglio, S., Acutis, M., Confalonieri, R.

2013 - Agronomy for Sustainable Development, 33, 393-403
Wheat modelling in Morocco unexpectedly reveals predominance of photosynthesis versus leaf area expansion plant traits.
Confalonieri, R., Bregaglio, S., Cappelli, G., Francone, C., Carpani, M., Acutis, M., El Aydam, M., Niemeyer, S., Balaghi, R., Dong, Q.

2012 - Ecological Modelling, 225, 159-166
Quantifying plasticity in simulation models.
Confalonieri, R., Bregaglio, S., Acutis, M.

INRA Morocco
European Commission Joint Research Centre AGRI4CAST
CNR - Consiglio Nazionale delle Ricerche