Michel, L., & Makowski, D. (2013). Comparison of statistical models for analyzing wheat yield
time series. PLoS One, 8, e78615. https://doi.org/10.1371/journal.pone.0078615.
Möller, K., & Müller, T. (2012). Effects of anaerobic digestion on digestate nutrient availability and
crop growth: A review. Engineering in Life Sciences, 12, 242–257. https://doi.org/10.1002/elsc.
201100085.
Montzka, C., Pauwels, V. R. N., Franssen, H.-J. H., Han, X., & Vereecken, H. (2012). Multivariate
and multiscale data assimilation in terrestrial systems: A review. Sensors, 12, 16291–16333.
https://doi.org/10.3390/s121216291.
Moulin, S., Bondeau, A., & Delecolle, R. (1998). Combining agricultural crop models and satellite
observations: From field to regional scales. International Journal of Remote Sensing, 19,
1021–1036.
Palosuo, T., Kersebaum, K. C., Angulo, C., Hlavinka, P., Moriondo, M., Olesen, J. E., Patil, R. H.,
Ruget, F., Rumbaur, C., Takáč, J., Trnka, M., Bindi, M., Çaldağ, B., Ewert, F., Ferrise, R.,
Mirschel, W., Şaylan, L., Šiška, B., & Rötter, R. (2011a). Simulation of winter wheat yield and
its variability in different climates of Europe: A comparison of eight crop growth models.
European Journal of Agronomy, 35, 103–114. https://doi.org/10.1016/j.eja.2011.05.001.
Palosuo, T., Kersebaum, K. C., Angulo, C., Hlavinka, P., Moriondo, M., Olesen, J. E., Patil, R. H.,
Ruget, F., Rumbaur, C., Takáč, J., Trnka, M., Bindi, M., Çaldağ, B., Ewert, F., Ferrise, R.,
Mirschel, W., Şaylan, L., Šiška, B., & Rötter, R. (2011b). Simulation of winter wheat yield and
its variability in different climates of Europe: A comparison of eight crop growth models.
European Journal of Agronomy, 35, 103–114. https://doi.org/10.1016/j.eja.2011.05.001.
Prasad, A. K., Chai, L., Singh, R. P., & Kafatos, M. (2006). Crop yield estimation model for Iowa
using remote sensing and surface parameters. International Journal of Applied Earth Observation and Geoinformation, 8, 26–33. https://doi.org/10.1016/j.jag.2005.06.002.
Qu, Y., Zhu, Y., Han, W., Wang, J., & Ma, M. (2014). Crop leaf area index observations with a
wireless sensor network and its potential for validating remote sensing products. IEEE Journal
of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 431–444.
Ray, S. S., Das, G., Singh, J. P., & Panigrahy, S. (2006). Evaluation of hyperspectral indices for LAI
estimation and discrimination of potato crop under different irrigation treatments. International
Journal of Remote Sensing, 27, 5373–5387. https://doi.org/10.1080/01431160600763006.
Ren, J., Chen, Z., Tang, H., Zhou, Q., & Qin, J. (2011). Regional crop yield simulation based on
crop growth model and remote sensing data. Transactions of the Chinese Society of Agricultural Engineering, 27, 257–264.
Stöckle, C. O., Donatelli, M., & Nelson, R. (2003). CropSyst, a cropping systems simulation model.
European Journal of Agronomy, 18, 289–307.
Teruel, D. (1995). Modelagem do índice de área foliar de cana-de-açúcar em diferentes regimes
hídricos. Regimes Hídricos: Model. Índice Área Foliar Cana--Açúcar Em Difer.
Therond, O., Hengsdijk, H., Casellas, E., Wallach, D., Adam, M., Belhouchette, H., Oomen, R.,
Russell, G., Ewert, F., Bergez, J.-E., Janssen, S., Wery, J., & Van Ittersum, M. K. (2011). Using
a cropping system model at regional scale: Low-data approaches for crop management information and model calibration. Agriculture Ecosystems & Environment, 142, 85–94. https://doi.
org/10.1016/j.agee.2010.05.007.
Thornton, P. K., Jones, P. G., Alagarswamy, G., & Andresen, J. (2009). Spatial variation of crop
yield response to climate change in East Africa. Global Environmental Change, 19, 54–65.
https://doi.org/10.1016/j.gloenvcha.2008.08.005.
Thorp, K. R., DeJonge, K. C., Kaleita, A. L., Batchelor, W. D., & Paz, J. O. (2008). Methodology
for the use of DSSAT models for precision agriculture decision support. Computers and
Electronics in Agriculture, 64, 276–285.
van Diepen, C., Wolf, J., van Keulen, H., & Rappoldt, C. (1989). WOFOST: A simulation model of
crop production. Soil Use and Management, 5, 16–24.
Vanuytrecht, E., Raes, D., & Willems, P. (2014). Global sensitivity analysis of yield output from the
water productivity model. Environmental Modelling & Software, 51, 323–332. https://doi.org/
10.1016/j.envsoft.2013.10.017.
11 Crop Growth Modeling and Yield Forecasting
219
time series. PLoS One, 8, e78615. https://doi.org/10.1371/journal.pone.0078615.
Möller, K., & Müller, T. (2012). Effects of anaerobic digestion on digestate nutrient availability and
crop growth: A review. Engineering in Life Sciences, 12, 242–257. https://doi.org/10.1002/elsc.
201100085.
Montzka, C., Pauwels, V. R. N., Franssen, H.-J. H., Han, X., & Vereecken, H. (2012). Multivariate
and multiscale data assimilation in terrestrial systems: A review. Sensors, 12, 16291–16333.
https://doi.org/10.3390/s121216291.
Moulin, S., Bondeau, A., & Delecolle, R. (1998). Combining agricultural crop models and satellite
observations: From field to regional scales. International Journal of Remote Sensing, 19,
1021–1036.
Palosuo, T., Kersebaum, K. C., Angulo, C., Hlavinka, P., Moriondo, M., Olesen, J. E., Patil, R. H.,
Ruget, F., Rumbaur, C., Takáč, J., Trnka, M., Bindi, M., Çaldağ, B., Ewert, F., Ferrise, R.,
Mirschel, W., Şaylan, L., Šiška, B., & Rötter, R. (2011a). Simulation of winter wheat yield and
its variability in different climates of Europe: A comparison of eight crop growth models.
European Journal of Agronomy, 35, 103–114. https://doi.org/10.1016/j.eja.2011.05.001.
Palosuo, T., Kersebaum, K. C., Angulo, C., Hlavinka, P., Moriondo, M., Olesen, J. E., Patil, R. H.,
Ruget, F., Rumbaur, C., Takáč, J., Trnka, M., Bindi, M., Çaldağ, B., Ewert, F., Ferrise, R.,
Mirschel, W., Şaylan, L., Šiška, B., & Rötter, R. (2011b). Simulation of winter wheat yield and
its variability in different climates of Europe: A comparison of eight crop growth models.
European Journal of Agronomy, 35, 103–114. https://doi.org/10.1016/j.eja.2011.05.001.
Prasad, A. K., Chai, L., Singh, R. P., & Kafatos, M. (2006). Crop yield estimation model for Iowa
using remote sensing and surface parameters. International Journal of Applied Earth Observation and Geoinformation, 8, 26–33. https://doi.org/10.1016/j.jag.2005.06.002.
Qu, Y., Zhu, Y., Han, W., Wang, J., & Ma, M. (2014). Crop leaf area index observations with a
wireless sensor network and its potential for validating remote sensing products. IEEE Journal
of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 431–444.
Ray, S. S., Das, G., Singh, J. P., & Panigrahy, S. (2006). Evaluation of hyperspectral indices for LAI
estimation and discrimination of potato crop under different irrigation treatments. International
Journal of Remote Sensing, 27, 5373–5387. https://doi.org/10.1080/01431160600763006.
Ren, J., Chen, Z., Tang, H., Zhou, Q., & Qin, J. (2011). Regional crop yield simulation based on
crop growth model and remote sensing data. Transactions of the Chinese Society of Agricultural Engineering, 27, 257–264.
Stöckle, C. O., Donatelli, M., & Nelson, R. (2003). CropSyst, a cropping systems simulation model.
European Journal of Agronomy, 18, 289–307.
Teruel, D. (1995). Modelagem do índice de área foliar de cana-de-açúcar em diferentes regimes
hídricos. Regimes Hídricos: Model. Índice Área Foliar Cana--Açúcar Em Difer.
Therond, O., Hengsdijk, H., Casellas, E., Wallach, D., Adam, M., Belhouchette, H., Oomen, R.,
Russell, G., Ewert, F., Bergez, J.-E., Janssen, S., Wery, J., & Van Ittersum, M. K. (2011). Using
a cropping system model at regional scale: Low-data approaches for crop management information and model calibration. Agriculture Ecosystems & Environment, 142, 85–94. https://doi.
org/10.1016/j.agee.2010.05.007.
Thornton, P. K., Jones, P. G., Alagarswamy, G., & Andresen, J. (2009). Spatial variation of crop
yield response to climate change in East Africa. Global Environmental Change, 19, 54–65.
https://doi.org/10.1016/j.gloenvcha.2008.08.005.
Thorp, K. R., DeJonge, K. C., Kaleita, A. L., Batchelor, W. D., & Paz, J. O. (2008). Methodology
for the use of DSSAT models for precision agriculture decision support. Computers and
Electronics in Agriculture, 64, 276–285.
van Diepen, C., Wolf, J., van Keulen, H., & Rappoldt, C. (1989). WOFOST: A simulation model of
crop production. Soil Use and Management, 5, 16–24.
Vanuytrecht, E., Raes, D., & Willems, P. (2014). Global sensitivity analysis of yield output from the
water productivity model. Environmental Modelling & Software, 51, 323–332. https://doi.org/
10.1016/j.envsoft.2013.10.017.
11 Crop Growth Modeling and Yield Forecasting
219