Aggelopoulou A D, Bochtis D, Fountas S, Swain K C, Gemtos T A, Nanos G D. 2011. Yield prediction in apple orchards based on image processing. Precision Agriculture, 12, 448–456.
Alexandrov V A, Eitzinger J. 2005. The potential effect of climate change and elevated air carbon dioxide on agricultural crop production in central and southeastern Europe. Journal of Crop Improvement, 13, 291–331.
Asseng S, Ewert F, Rosenzweig C, Jones J W, Hatfield J L, Ruane A C, Boote K J, Thorburn P J, Rötter R P, Cammarano D, Brisson N, Basso B, Martre P, Aggarwal P K, Angulo C, Bertuzzi P, Biernath C, Challinor A J, Doltra J, Gayler S, et al. 2013. Uncertainty in simulating wheat yields under climate change. Nature Climate Change, 3, 827–832.
Bai T, Zhang N, Chen Y, Mercatoris B. 2019a. Assessing the performance of the WOFOST model in simulating jujube fruit tree growth under different irrigation regimes. Sustainability, 11, 1466.
Bai T, Zhang N, Mercatoris B, Chen Y. 2019b. Improving jujube fruit tree yield estimation at the field scale by assimilating a single landsat remotely-sensed LAI into the WOFOST model. Remote Sensing, 11, 1119.
Bai T, Zhang N, Mercatoris B, Chen Y. 2019c. Jujube yield prediction method combining Landsat 8 Vegetation Index and the phenological length. Computers and Electronics in Agriculture, 162, 1011–1027.
Baly E C C. 1935. The kinetics of photosynthesis. Proceedings of the Royal Society of London (Series B: Biological Sciences), 117, 218–239.
Bickel P J, Chen A. 2009. A nonparametric view of network models and Newman–Girvan and other modularities. Proceedings of the National Academy of Sciences of the United States of America, 106, 21068–21073.
Blanco M, Ramos F, Van Doorslaer B, Martínez P, Fumagalli D, Ceglar A, Fernández F J. 2017. Climate change impacts on EU agriculture: A regionalized perspective taking into account market-driven adjustments. Agricultural Systems, 156, 52–66.
Brisson N, Gary C, Justes E, Roche R, Mary B, Ripoche D, Zimmer D, Sierra J, Bertuzzi P, Burger P, Bussière F, Cabidoche Y M, Cellier P, Debaeke P, Gaudillère J P, Hénault C, Maraux F, Seguin B, Sinoquet H. 2003. An overview of the crop model STICS. European Journal of Agronomy, 18, 309–332.
Ceglar A, van der Wijngaart R, de Wit A, Lecerf R, Boogaard H, Seguini L, van den Berg M, Toreti A, Zampieri M, Fumagalli D, Baruth B. 2019. Improving WOFOST model to simulate winter wheat phenology in Europe: Evaluation and effects on yield. Agricultural Systems, 168, 168–180.
Cheng Z, Meng J, Wang Y. 2016. Improving spring maize yield estimation at field scale by assimilating time-series HJ-1 CCD data into the WOFOST model using a new method with fast algorithms. Remote Sensing, 8, 303.
Confalonieri R, Acutis M, Bellocchi G, Donatelli M. 2009. Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice. Ecological Modelling, 220, 1395–1410.
Curnel Y, de Wit A J W, Duveiller G, Defourny P. 2011. Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS experiment. Agricultural and Forest Meteorology, 151, 1843–1855.
van Diepen C A, Wolf J, van Keulen H, Rappoldt C. 1989. WOFOST: A simulation model of crop production. Soil Use Management, 5, 16–24.
Dobermann A, Dawe D, Roetter R P, Cassman K G. 2000. Reversal of rice yield decline in a long-term continuous cropping experiment. Agronomy Journal, 92, 633–643.
Eitzinger J, Trnka M, Hösch J, ?alud Z, Dubrovský M. 2004. Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecological Modelling, 171, 223–246.
Ewert F, Rötter R P, Bindi M, Webber H, Trnka M, Kersebaum K C, Olesen J E, van Ittersum M K, Janssen S, Rivington M, Semenov M A, Wallach D, Porter J R, Stewart D, Verhagen J, Gaiser T, Palosuo T, Tao F, Nendel C, Roggero P P, et al. 2015. Crop modelling for integrated assessment of risk to food production from climate change. Environmental Modelling and Software, 72, 287–303.
Gao Q, Wu C, Wang M. 2013. The Jujube (Ziziphus Jujuba Mill.) fruit: A review of current knowledge of fruit composition and health benefits. Journal of Agricultural and Food Chemistry, 61, 3351–3363.
Gilardelli C, Confalonieri R, Cappelli G A, Bellocchi G. 2018. Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change. Ecological Modelling, 368, 1–14.
He T. 2010. Study on the configuration and light distribution characteristics in slope-land jujube plantation of north Shaanxi, Yangling. MSc thesis, Northwest A&F University, Yanglin, Shaanxi, China. (in Chinese)
Holzworth D P, Huth N I, deVoil P G, Zurcher E J, Herrmann N I, McLean G, Chenu K, van Oosterom E J, Snow V, Murphy C, Moore A D, Brown H, Whish J P M, Verrall S, Fainges J, Bell L W, Peake A S, Poulton P L, Hochman Z, Thorburn P J, et al. 2014a. APSIM - Evolution towards a new generation of agricultural systems simulation. Environmental Modelling and Software, 62, 327–350.
Holzworth D P, Snow V, Janssen S, Athanasiadis I N, Donatelli M, Hoogenboom G, White J W, Thorburn P. 2014b. Agricultural production systems modelling and software: Current status and future prospects. Environmental Modelling and Software, 72, 276–286.
Huang J, Ma H, Sedano F, Lewis P, Liang S, Wu Q, Su W, Zhang X, Zhu D. 2019. Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model. European Journal of Agronomy, 102, 1–13.
Huang J, Ma H, Su W, Zhang X, Huang Y, Fan J, Wu W. 2015a. Jointly assimilating MODIS LAI and ET products into the SWAP model for winter wheat yield estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 4060–4071.
Huang J, Sedano F, Huang Y, Ma H, Li X, Liang S, Tian L, Zhang X, Fan J, Wu W. 2016. Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation. Agricultural and Forest Meteorology, 216, 188–202.
Huang J, Tian L, Liang S, Ma H, Becker-Reshef I, Huang Y, Su W, Zhang X, Zhu D, Wu W. 2015b. Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model. Agricultural and Forest Meteorology, 204, 106–121.
Jones J W, Hoogenboom G, Porter C H, Boote K J, Batchelor W D, Hunt L A, Wilkens P W, Singh U, Gijsman A J, Ritchie J T. 2003. The DSSAT cropping system model. European Journal of Agronomy, 18, 235–265.
Kroes J G, Supit I. 2011. Impact analysis of drought, water excess and salinity on grass production in the netherlands using historical and future climate data. Agriculture, Ecosystems and Environment, 144, 370–381.
Li J, Fan L, Ding S, Ding X. 2007. Nutritional composition of five cultivars of Chinese jujube. Food Chemistry, 103, 454–460.
Liu F, Liu X, Ding C, Wu L. 2015. The dynamic simulation of rice growth parameters under cadmium stress with the assimilation of multi-period spectral indices and crop model. Field Crops Research, 183, 225–234.
Ma G, Huang J, Wu W, Fan J, Zou J, Wu S. 2013. Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield. Mathematical and Computer Modelling, 58, 634–643.
Rahman M M, Robson A, Bristow M. 2018. Exploring the potential of high resolution WorldView-3 imagery for estimating yield of mango. Remote Sensing, 10, 1866.
Reidsma P, Ewert F, Boogaard H, van Diepen K. 2009. Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics on maize yields. Agricultural Systems, 100, 51–60.
Reidsma P, Wolf J, Kanellopoulos A, Schaap B F, Mandryk M, Verhagen J, Van Ittersum M K. 2015. Climate change impact and adaptation research requires integrated assessment and farming systems analysis: A case study in the Netherlands. Environmental Research Letters, 10, 045004.
Rötter R, Van Keulen H. 1997. Variations in yield response to fertilizer application in the tropics: II. Risks and opportunities for smallholders cultivating maize on Kenya’s arable land. Agricultural Systems, 53, 69–95.
Sun L, Gao F, Anderson M C, Kustas W P, Alsina M M, Sanchez L, Sams B, McKee L, Dulaney W, White W A, Alfieri J G, Prueger J H, Melton F, Post K. 2017. Daily mapping of 30 m
LAI and NDVI for grape yield prediction in California vineyards. Remote Sensing, 9, 317.
Supit I. 1997. Predicting national wheat yields using a crop simulation and trend models. Agricultural and Forest Meteorology, 88, 199–214.
Supit I, van Diepen C A, de Wit A J W, Kabat P, Baruth B, Ludwig F. 2012. Assessing climate change effects on European crop yields using the crop growth monitoring system and a weather generator. Agricultural and Forest Meteorology, 164, 96–111.
Thornley J H M. 1976. Mathematical models in plant physiology. Academic Press London. [2018-12-10]. https://www.cabdirect.org/cabdirect/abstract/19760343677
Todorovic M, Albrizio R, Zivotic L, Abi Saab M T, Stöckle C, Steduto P. 2009. Assessment of Aquacrop, Cropsyst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agronomy Journal, 101, 509–521.
Tripathy R, Chaudhari K N, Mukherjee J, Ray S S, Patel N K, Panigrahy S, Parihar J S. 2013. Forecasting wheat yield in Punjab State of India by combining crop simulation model WOFOST and remotely sensed inputs. Remote Sensing Letters, 4, 19–28.
Vanuytrecht E, Thorburn P J. 2017. Responses to atmospheric CO2 concentrations in crop simulation models: A review of current simple and semicomplex representations and options for model development. Global Change Biology, 23, 1806–1820.
Van Walsum P E V, Supit I. 2012. Influence of ecohydrologic feedbacks from simulated crop growth on integrated regional hydrologic simulations under climate scenarios. Hydrology and Earth System Sciences, 16, 1577–1593.
Wang X, Williams J R, Gassman P W, Baffaut C, Izaurralde R C, Jeong J, Kiniry J R. 2012. EPIC and APEX: Model use, calibration, and validation. Transactions of the ASABE, 55, 1447–1462.
de Wit A, Baruth B, Boogaard H, Van Diepen K, Van Kraalingen D, Micale F, Te Roller J, Supit I, Van Den Wijngaart R. 2010. Using ERA-INTERIM for regional crop yield forecasting in Europe. Climate Research, 44, 41–53.
de Wit A, Boogaard H, Fumagalli D, Janssen S, Knapen R, van Kraalingen D, Supit I, van der Wijngaart R, van Diepen K. 2019. 25 years of the WOFOST cropping systems model. Agricultural Systems, 168, 154–167.
de Wit A, Boogaard H L, Diepen C A V. 2005. Spatial resolution of precipitation and radiation: The effect on regional crop yield forecasts. Agricultural and Forest Meteorology, 135, 156–168.
de Wit A, van Diepen C A. 2007. Crop model data assimilation with the ensemble kalman filter for improving regional crop yield forecasts. Agricultural and Forest Meteorology, 146, 38–56.
de Wit A, van Diepen C A. 2008. Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs. International Journal of Applied Earth Observation and Geoinformation, 10, 414–425.
de Wit A, Duveiller G, Defourny P. 2012. Estimating regional winter wheat yield with WOFOST through the assimilation of green area index retrieved from MODIS observations. Agricultural and Forest Meteorology, 164, 39–52.
Wolf J, Hessel R, Boogaard H L, De Wit A, Akkermans W, van Diepen C A. 2011. Modelling winter wheat production across Europe with WOFOST - The effect of two new zonations and two newly calibrated model parameter sets. In: Ahuja L R, Ma L, eds. Methods of Introducing System Models into Agricultural Research. American Society of Agronomy. Crop Science Society of America, Soil Science Society of America. https://doi.org/10.2134/advagricsystmodel2.c11
Yang W, Gao J, Xu C. 2012. The correlation analysis of leaf area index and yield of red jujube. Xinjiang Agricultural Sciences, 49, 1397–1400. (in Chinese)
Ye X, Sakai K, Garciano L O, Asada S I, Sasao A. 2006. Estimation of citrus yield from airborne hyperspectral images using a neural network model. Ecological Modelling, 198, 426–432.
Ye Z, Yu Q. 2007. Comparison of a new model of light response of photosynthesis with traditional models. Journal of Shenyang Agricultural University, 38, 771–775. (in Chinese)
Zaman Q U, Schumann A W, Hostler H K. 2006. Estimation of citrus fruit yield using ultrasonically-sensed tree size. Applied Engineering in Agriculture, 22, 39–44.
Zhang Q, Bai T, Wu C. 2013. Investigation on yield and quality of jujube in different tree shapes in direct seeding and orchard construction. Northern Horticulture, 4, 18–23. (in Chinese)
Zheng Y, Li Z, Xiao J, Yuan W, Yan M, Li T, Zhang Z. 2018. Sources of uncertainty in gross primary productivity simulated by light use efficiency models: Model structure, parameters, input data, and spatial resolution. Agricultural and Forest Meteorology, 263, 242–257.
Zhou G, Liu X, Liu M. 2019. Assimilating remote sensing phenological information into the WOFOST model for rice growth simulation. Remote Sensing, 11, 268.
Zhou R, Damerow L, Sun Y, Blanke M M. 2012. Using colour features of cv. ‘Gala’ apple fruits in an orchard in image processing to predict yield. Precision Agriculture, 13, 568–580.
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