WOFOST-Publications

From CSDMS
References WOFOST

Publication(s)YearTypeCited
Boogaard, H.L.; van Diepen, C.A.; Roetter, R.P.; Cabrera, J.M.C.A.; Laar, H.H.v.; 1998. WOFOST 7.1 : user's guide for the WOFOST 7.1 crop growth simulation model and WOFOST Control Center 1.5.. .
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1998Model overview 174
Supit, I.; Hooijer, A.A.; Diepen van, C.A.; 1994. System Description of the WOFOST 6.0 Crop Simulation Model Implemented in CGMS, Volume 1: Theory and Algorithms.. .
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1994Model overview 0
Diepen, C.A.; Wolf, J.; Keulen, H.; Rappoldt, C.; 1989. WOFOST: a simulation model of crop production. Soil Use and Management, 5, 16–24. 10.1111/j.1475-2743.1989.tb00755.x
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1989Model overview 598
Keulen, H. van; Wolf, J.; 1986. Modelling of agricultural production : weather, soils and crops.. In: (eds.).. .
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1986Model overview 327
de Wit, Allard; Boogaard, Hendrik; Fumagalli, Davide; Janssen, Sander; Knapen, Rob; van Kraalingen, Daniel; Supit, Iwan; van der Wijngaart, Raymond; van Diepen, Kees; 2019. 25 years of the WOFOST cropping systems model. Agricultural Systems, 168, 154–167. 10.1016/j.agsy.2018.06.018
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2019Model overview 138
Ahuja, Lajpat R.; Ma, Liwang; Lascano, Robert J.; Ahuja, L.R.; Saseendran, S.A.; Fang, Q.X.; Nielsen, David C.; Wang, Enli; Colaizzi, Paul D.; 2015. Syntheses of the Current Model Applications for Managing Water and Needs for Experimental Data and Model Improvements to Enhance these Applications. In: (eds.)Advances in Agricultural Systems Modeling.. 399–437.
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2015

Model application

13
Pauwels, Valentijn R. N.; Verhoest, Niko E. C.; De Lannoy, Gabriëlle J. M.; Guissard, Vincent; Lucau, Cozmin; Defourny, Pierre; 2007. Optimization of a coupled hydrology-crop growth model through the assimilation of observed soil moisture and leaf area index values using an ensemble Kalman filter: ASSIMILATION OF LAI AND SOIL MOISTURE. Water Resources Research, 43, . 10.1029/2006WR004942
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2007

Model application

141
Ma, Guannan; Huang, Jianxi; Wu, Wenbin; Fan, Jinlong; Zou, Jinqiu; Wu, Sijie; 2013. Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield. Mathematical and Computer Modelling, 58, 634–643. 10.1016/j.mcm.2011.10.038
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2013Model application 108
de Wit, A.J.W.; 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. 10.1016/j.agrformet.2007.05.004
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2007Model application 252
Ma, Hongyuan; Huang, Jianxi; Zhu, Dehai; Liu, Junming; Su, Wei; Zhang, Chao; Fan, Jinlong; 2013. Estimating regional winter wheat yield by assimilation of time series of HJ-1 CCD NDVI into WOFOST–ACRM model with Ensemble Kalman Filter. Mathematical and Computer Modelling, 58, 759–770. 10.1016/j.mcm.2012.12.028
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2013Model application 66
Wang, Jing; Li, Xin; Lu, Ling; Fang, Feng; 2013. Parameter sensitivity analysis of crop growth models based on the extended Fourier Amplitude Sensitivity Test method. Environmental Modelling & Software, 48, 171–182. 10.1016/j.envsoft.2013.06.007
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2013Model application 129
Ogutu, Geoffrey E.O.; Franssen, Wietse H.P.; Supit, Iwan; Omondi, P.; Hutjes, Ronald W.A.; 2018. Probabilistic maize yield prediction over East Africa using dynamic ensemble seasonal climate forecasts. Agricultural and Forest Meteorology, 250, 243–261. 10.1016/j.agrformet.2017.12.256
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2018Model application 32
Kassie, B.T.; Van Ittersum, M.K.; Hengsdijk, H.; Asseng, S.; Wolf, J.; Rötter, R.P.; 2014. Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia. Field Crops Research, 160, 41–53. 10.1016/j.fcr.2014.02.010
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2014Model application 88
Wang, Jing; Li, Xin; Lu, Ling; Fang, Feng; 2013. Estimating near future regional corn yields by integrating multi-source observations into a crop growth model. European Journal of Agronomy, 49, 126–140. 10.1016/j.eja.2013.03.005
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2013Model application 60
Cheng, Zhiqiang; Meng, Jihua; Shang, Jiali; Liu, Jiangui; Qiao, Yanyou; Qian, Budong; Jing, Qi; Dong, Taifeng; 2019. Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations. IEEE Transactions on Geoscience and Remote Sensing, 57, 2896–2908. 10.1109/TGRS.2018.2878382
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2019Model application 8
Cheng, Zhiqiang; Meng, Jihua; Wang, Yiming; 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. 10.3390/rs8040303
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2016Model application 50
Pohlert, Thorsten; 2004. Use of empirical global radiation models for maize growth simulation. Agricultural and Forest Meteorology, 126, 47–58. 10.1016/j.agrformet.2004.05.003
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2004Model application 63
Combe, M.; de Wit, A. J. W.; Vilà-Guerau de Arellano, J.; van der Molen, M. K.; Magliulo, V.; Peters, W.; 2017. Grain Yield Observations Constrain Cropland CO 2 Fluxes Over Europe: YIELD DATA CONSTRAINS CROP CO 2 EXCHANGE. Journal of Geophysical Research: Biogeosciences, 122, 3238–3259. 10.1002/2017JG003937
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2017Model application 4
Cheng, Zhiqiang; Meng, Jihua; Qiao, Yanyou; Wang, Yiming; Dong, Wenquan; Han, Yanxin; 2018. Preliminary Study of Soil Available Nutrient Simulation Using a Modified WOFOST Model and Time-Series Remote Sensing Observations. Remote Sensing, 10, 64. 10.3390/rs10010064
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2018Model application 17
Bao, Shanning; Cao, Chunxiang; Huang, Jianxi; Ni, Xiliang; Xu, Min; 2016. Research on yields estimation and yields increasing potential by irrigation of spring maize in Northeast China. . Volume .
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2016Model application 0
Huang, Zhi; Liu, Xiangnan; Jin, Ming; Ding, Chao; Jiang, Jiale; Wu, Ling; 2016. Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model. Sensors, 16, 340. 10.3390/s16030340
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2016Model application 9
, ; 2017. Extraction of Rice Heavy Metal Stress Signal Features Based on Long Time Series Leaf Area Index Data Using Ensemble Empirical Mode Decomposition. International Journal of Environmental Research and Public Health, 14, 1018. 10.3390/ijerph14091018
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2017Model application 20
Govindarajan, S.; Ambujam, N. K.; Karunakaran, K.; 2008. Estimation of paddy water productivity (WP) using hydrological model: an experimental study. Paddy and Water Environment, 6, 327–339. 10.1007/s10333-008-0131-0
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2008Model application 25
Tripathy, Rojalin; Chaudhari, Karshan N.; Mukherjee, Joydeep; Ray, Shibendu S.; Patel, N. K.; Panigrahy, Sushma; Parihar, Jai Singh; 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. 10.1080/2150704X.2012.683117
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2013Model application 26
Song, Yanling; Chen, Deliang; Dong, Wenjie; 2006. Influence of climate on winter wheat productivity in different climate regions of China, 1961–2000. Climate Research, 32, 219–227. 10.3354/cr032219
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2006Model application 23
Liu, Tianjiao; Liu, Xiangnan; Liu, Meiling; Wu, Ling; 2018. Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology. Sensors, 18, 860. 10.3390/s18030860
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2018Model application 11
de Wit, A.J.W.; Boogaard, H.L.; van Diepen, C.A.; 2004. Using NOAA–AVHRR estimates of land surface temperature for regional agrometeorogical modelling. International Journal of Applied Earth Observation and Geoinformation, 5, 187–204. 10.1016/j.jag.2004.03.003
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2004Model application 18
Eweys, Omar Ali; Elwan, Abeer A.; Borham, Taha I.; 2017. Integrating WOFOST and Noah LSM for modeling maize production and soil moisture with sensitivity analysis, in the east of The Netherlands. Field Crops Research, 210, 147–161. 10.1016/j.fcr.2017.06.004
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2017Model application 16
Jia, Yangwen; 2011. Coupling crop growth and hydrologic models to predict crop yield with spatial analysis technologies. Journal of Applied Remote Sensing, 5, 053537. 10.1117/1.3609844
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2011Model application 15
Bai, Tiecheng; Zhang, Nannan; Chen, Youqi; Mercatoris, Benoit; 2019. Assessing the Performance of the WOFOST Model in Simulating Jujube Fruit Tree Growth under Different Irrigation Regimes. Sustainability, 11, 1466. 10.3390/su11051466
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2019Model application 9
Song, Yanling; Wang, Chunyi; Linderholm, Hans W.; Tian, Jinfeng; Shi, Ying; Xu, Jinxia; Liu, Yanju; 2019. Agricultural Adaptation to Global Warming in the Tibetan Plateau. International Journal of Environmental Research and Public Health, 16, 3686. 10.3390/ijerph16193686
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2019Model application 5
Wang, Liyuan; Huang, Jingfeng; Wang, Liyuan; Gao, Ping; Wu, Hongyan; 2017. Estimating winter wheat yield by assimilation of MODIS LAI into WOFOST model with Ensemble Kalman Filter. . Volume .
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2017Model application 2
Yu, Eugene G.; Di, Liping; Kang, Lingjun; Shrestha, Ranjay; Rahman, Md Shahinoor; Lin, Li; Deng, Meixia; Yang, Zhengwei; 2016. Online parameterization for WOFOST for United States using open geospatial standards. . Volume .
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2016Model application 1
Gao, Wei; Chang, Ni-Bin; Wang, Jinnian; Liu, Chaoshun; Gao, Wei; Liu, Pudong; Sun, Zhibin; 2014. Assimilation of remote sensing data into crop growth model to improve the estimation of regional winter wheat yield. . Volume .
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2014Model application 0
Song, Yanling; Zhao, Yanxia; 2012. Effects of drought on winter wheat yield in north China during 2012–2100. Acta Meteorologica Sinica, 26, 516–528. 10.1007/s13351-012-0410-4
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2012Model application 11
Wang, Dongmin; Liu, Xiangnan; 2018. Comparative Analysis of GF-1 and HJ-1 Data to Derive the Optimal Scale for Monitoring Heavy Metal Stress in Rice. International Journal of Environmental Research and Public Health, 15, 461. 10.3390/ijerph15030461
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2018Model application 2
Tang, Yibo; Liu, Meiling; Liu, Xiangnan; Wu, Ling; Zhao, Bingyu; Wu, Chuanyu; 2020. Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors. International Journal of Environmental Research and Public Health, 17, 2265. 10.3390/ijerph17072265
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2020Model application 4
Wolf, J; Vandiepen, C; 1994. Effects of climate change on silage maize production potential in the European community. Agricultural and Forest Meteorology, 71, 33–60. 10.1016/0168-1923(94)90099-X
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1994Model application 20
Zhang, Yang; Shu, Qidi; Wang, Long; Quan, Xingwen; Liu, Xiangzhuo; Lu, Biao; 2019. Estimation of Fuel Biomass for Grasslands Using Data Assimilation Technique. . Volume .
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2019Model application 0
Pinto, Victor Meriguetti; van Dam, Jos C.; de Jong van Lier, Quirijn; Reichardt, Klaus; 2019. Intercropping Simulation Using the SWAP Model: Development of a 2×1D Algorithm. Agriculture, 9, 126. 10.3390/agriculture9060126
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2019Model application 2
Zhao, Shuang; Qian, Xu; Liu, Xiangnan; Xu, Zhao; 2018. Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice. Sensors, 18, 1230. 10.3390/s18041230
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2018Model application 2
Zhu, Jiangxu; Zeng, Wenzhi; Ma, Tao; Lei, Guoqing; Zha, Yuanyuan; Fang, Yuanhao; Wu, Jingwei; Huang, Jiesheng; 2018. Testing and Improving the WOFOST Model for Sunflower Simulation on Saline Soils of Inner Mongolia, China. Agronomy, 8, 172. 10.3390/agronomy8090172
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2018Model application 5
Zhang, Xueting; He, Binbin; quan, Xingwen; 2016. Assimilation of 30m resolution LAI into crop growth model for improving LAI estimation in plateau grassland. . Volume .
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2016Model application 2
Kulig, Bogdan; Skowera, Barbara; Klimek-Kopyra, Agnieszka; Kołodziej, Stanisław; Grygierzec, Wiesław; 2020. The Use of the WOFOST Model to Simulate Water-Limited Yield of Early Potato Cultivars. Agronomy, 10, 81. 10.3390/agronomy10010081
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2020Model application 2
Zhuo, Wen; Huang, Jianxi; Li, Li; Huang, Ran; Gao, Xinran; Zhang, Xiaodong; Zhu, Dehai; 2018. Assimilating SAR and Optical Remote Sensing Data into WOFOST Model for Improving Winter Wheat Yield Estimation. . Volume .
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2018Model application 1
Gao, Xinran; Huang, Jianxi; Ma, Hongyuan; Zhuo, Wen; Zhu, Dehai; 2018. Regional Winter Wheat Maturity Date Prediction Using Remote Sensing-Crop Model Data Assimilation and Numerical Weather Prediction. . Volume .
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2018Model application 1
Zhu, Xiaohua; Ma, Lingling; Li, Chuanrong; Tang, Lingli; Zhu, Bo; 2013. Estimation of maize LAI by assimilating remote sensing data into crop model. . Volume .
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2013Model application 0
Abadi, F. R.; Tastra, I. K.; Koentjoro, B. S.; 2018. Preliminary Study of WOFOST Crop Simulation in Its Prospect for Soybean (Glycine max L.) Optimum Harvest Time and Yield Gap Analysis in East Java. AGRIVITA Journal of Agricultural Science, 40, . 10.17503/agrivita.v40i3.1832
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2018Model application 3
Foltescu, Valentin L; 2000. Prediction of crop yield in Sweden based on mesoscale meteorological analysis. Meteorological Applications, 7, 313–321. 10.1017/S1350482700001687
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2000Model application 5
Wokabi, S. M.; 2003. Effectiveness of the Wofost Simulation Model to Predict Maize Yield Gaps on the Eastern Slopes of Mt Kenya. East African Agricultural and Forestry Journal, 69, 139–147. 10.4314/eaafj.v69i2.1815
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2003Model application 1
Cheng, Zhiqiang; Meng, Jihua; Shang, Jiali; Liu, Jiangui; Huang, Jianxi; Qiao, Yanyou; Qian, Budong; Jing, Qi; Dong, Taifeng; Yu, Lihong; 2020. Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model. Sensors, 20, 6006. 10.3390/s20216006
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2020Model application 7
Mandal, Dipankar; Rao, Y.S.; 2020. SASYA: An integrated framework for crop biophysical parameter retrieval and within-season crop yield prediction with SAR remote sensing data. Remote Sensing Applications: Society and Environment, 20, 100366. 10.1016/j.rsase.2020.100366
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2020Model application 4
Quintero, Diego; Díaz, Eliécer; 2020. A comparison of two open-source crop simulation models for a potato crop. Agronomía Colombiana, 38, . 10.15446/agroncolomb.v38n3.82525
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2020Model application 2
Zhuo, Wen; Huang, Jianxi; Gao, Xinran; Ma, Hongyuan; Huang, Hai; Su, Wei; Meng, Jihua; Li, Ying; Chen, Huailiang; Yin, Dongqin; 2020. Prediction of Winter Wheat Maturity Dates through Assimilating Remotely Sensed Leaf Area Index into Crop Growth Model. Remote Sensing, 12, 2896. 10.3390/rs12182896
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2020Model application 12
Wu, Shangrong; Yang, Peng; Chen, Zhongxin; Ren, Jianqiang; Li, He; Sun, Liang; 2021. Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window. Agricultural and Forest Meteorology, 301, 108345. 10.1016/j.agrformet.2021.108345
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2021

Model application

3
Gardner, A.S.; Maclean, I.M.D.; Gaston, K.J.; Bütikofer, L.; 2021. Forecasting future crop suitability with microclimate data. Agricultural Systems, 190, 103084. 10.1016/j.agsy.2021.103084
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2021

Model application

9
Zhao, B.; Liu, M.; Wu, J.; Liu, X.; Wu, L.; 2020. Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images. IEEE Access, 8, 223675–223685. 10.1109/ACCESS.2020.3043003
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2020Model application 2
Wu, Shangrong; Ren, Jianqiang; Chen, Zhongxin; Yang, Peng; Li, He; Liu, Jia; 2020. Evaluation of Winter Wheat Yield Simulation Based on Assimilating LAI Retrieved From Networked Optical and SAR Remotely Sensed Images Into the WOFOST Model. IEEE Transactions on Geoscience and Remote Sensing, , 1–15. 10.1109/TGRS.2020.3038205
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2020Model application 1
Pushpalatha, Raji; Shiny, R.; Kutty, Govindan; Dua, V. K.; Sunitha, S.; Santhosh Mithra, V. S.; Byju, G.; 2021. Testing of Cassava (Manihot esculenta) Varieties for Climate Resilience Under Kerala (India) Conditions. Agricultural Research, , . 10.1007/s40003-021-00547-x
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2021Model application 1
Xu, Xin; Shen, Shuaijie; Xiong, Shuping; Ma, Xinming; Fan, Zehua; Han, Haiyang; 2021. Water Stress is a Key Factor Influencing the Parameter Sensitivity of the WOFOST Model in Different Agro-Meteorological Conditions. International Journal of Plant Production, 15, 231–242. 10.1007/s42106-021-00137-5
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2021Model application 2
Zhuo, Wen; Huang, Jianxi; Li, Li; Zhang, Xiaodong; Ma, Hongyuan; Gao, Xinran; Huang, Hai; Xu, Baodong; Xiao, Xiangming; 2019. Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation. Remote Sensing, 11, 1618. 10.3390/rs11131618
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2019

Model application

60
Ji, Fujiang; Meng, Jihua; Cheng, Zhiqiang; Fang, Huiting; Wang, Yanan; 2022. Crop Yield Estimation at Field Scales by Assimilating Time Series of Sentinel-2 Data Into a Modified CASA-WOFOST Coupled Model. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–14. 10.1109/TGRS.2020.3047102
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2022

Model application

4
Zhou, Gaoxiang; Liu, Xiangnan; Liu, Ming; 2019. Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing, 11, 268. 10.3390/rs11030268
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2019

Model application

22
Bai, Tiecheng; Wang, Shanggui; Meng, Wenbo; Zhang, Nannan; Wang, Tao; Chen, Youqi; Mercatoris, Benoit; 2019. Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts. Remote Sensing, 11, 1945. 10.3390/rs11161945
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2019

Model application

5
Dhillon, Maninder Singh; Dahms, Thorsten; Kuebert-Flock, Carina; Borg, Erik; Conrad, Christopher; Ullmann, Tobias; 2020. Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany. Remote Sensing, 12, 1819. 10.3390/rs12111819
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2020

Model application

5
Hensawang, Saruda; Injan, Sittisak; Varnakovida, Pariwate; Humphries, Usa; 2021. Predicting Rice Production in Central Thailand Using the WOFOST Model with ENSO Impact. Mathematical and Computational Applications, 26, 72. 10.3390/mca26040072
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2021

Model application

0
Ouko, O.R.J.; 2020. Agroforestry: A Triple Win for Mixed Farming Systems in Central Rift Valley, Ethiopia. Journal of Biology, Agriculture and Healthcare, , . 10.7176/JBAH/10-4-01
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2020

Model application

0
Zhao, Bingyu; Liu, Meiling; Wu, Jiianjun; Liu, Xiangnan; Liu, Mengxue; Wu, Ling; 2021. An efficient and accurate method for obtaining regional scale rice growth conditions based on WOFOST model and satellite images. .
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2021

Model application

0
Abebe, Gebeyehu; Tadesse, Tsegaye; Gessesse, Berhan; 2022. Assimilation of leaf Area Index from multisource earth observation data into the WOFOST model for sugarcane yield estimation. International Journal of Remote Sensing, 43, 698–720. 10.1080/01431161.2022.2027547
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2022

Model application

4
Wang, Jing; Wang, Zhiming; Lu, Bihui; Ma, Jie; Chen, Zhong; Cao, Zhiguo; Shi, Yu; 2020. Assimilation of HJ-LAI into the WOFOST model for estimating regional rice yield. . Volume .
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2020

Model application

0
Chinyoka, Sinclair; Steeneveld, Gert-Jan; 2021. Downscaling global seasonal weather forecasts for crop yield forecasting over Zimbabwe. .
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2021

Model application

0
Meng, Jihua; Cheng, Zhiqiang; 2020. Improving the estimation of soil-available nutrients at the sub-field scale using time-series UAV observations. Remote Sensing Letters, 11, 739–747. 10.1080/2150704X.2020.1763498
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2020

Model application

2
Liu, Ming; Liu, Xiangnan; Liu, Meiling; Liu, Feng; Jin, Ming; Wu, Ling; 2016. Root mass ratio: index derived by assimilation of synthetic aperture radar and the improved World Food Study model for heavy metal stress monitoring in rice. Journal of Applied Remote Sensing, 10, 026038. 10.1117/1.JRS.10.026038
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2016

Model application

5
Zhou, Gaoxiang; Liu, Xiangnan; Zhao, Shuang; Liu, Ming; Wu, Ling; 2017. Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress. Remote Sensing, 9, 424. 10.3390/rs9050424
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2017

Model application

18
Liu, Feng; Liu, Xiangnan; Zhao, Liting; Ding, Chao; Jiang, Jiale; Wu, Ling; 2015. The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 1330–1338. 10.1109/JSTARS.2014.2371058
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2015

Model application

31
Liu, Feng; Liu, Xiangnan; Wu, Ling; Xu, Zhao; Gong, Lu; 2016. Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in Rice. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 1685–1695. 10.1109/JSTARS.2015.2499258
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2016

Model application

8
Li, Daoliang; Ma, Shangjie; Pei, Zhiyuan; He, Yajuan; 2019. Study on Simulation of Rice Yield with WOFOST in Heilongjiang Province. In: (eds.)Computer and Computing Technologies in Agriculture X.. 40–51.
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2019

Model application

0
Li, Daoliang; Li, Zhenbo; Ma, Shangjie; Pei, Zhiyuan; He, Yajuan; Wang, Lianlin; Ma, Zhiping; 2016. Simulation of Winter Wheat Yield with WOFOST in County Scale. In: (eds.)Computer and Computing Technologies in Agriculture IX.. 161–172.
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2016

Model application

0
Chen, Xuanjing; Strokal, Maryna; Kroeze, Carolien; Supit, Iwan; Wang, Mengru; Ma, Lin; Chen, Xinping; Shi, Xiaojun; 2020. Modeling the Contribution of Crops to Nitrogen Pollution in the Yangtze River. Environmental Science & Technology, 54, 11929–11939. 10.1021/acs.est.0c01333
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2020

Model application

10
Jin, Ming; Liu, Xiangnan; Wu, Ling; Liu, Meiling; 2017. Distinguishing Heavy-Metal Stress Levels in Rice Using Synthetic Spectral Index Responses to Physiological Function Variations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 75–86. 10.1109/JSTARS.2016.2529647
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2017

Model application

10
Tao, Sulin; Shen, Shuanghe; Li, Yuhong; Wang, Qi; Gao, Ping; Mugume, Isaac; 2016. Projected Crop Production under Regional Climate Change Using Scenario Data and Modeling: Sensitivity to Chosen Sowing Date and Cultivar. Sustainability, 8, 214. 10.3390/su8030214
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2016

Model application

20
Zhou, Gaoxiang; Liu, Ming; Liu, Xiangnan; Li, Jonathan; 2018. Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation. . Volume .
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2018

Model application

0
Nassiri, M.; Koocheki, A.; Kamali, G. A.; Shahandeh, H.; 2006. Potential impact of climate change on rainfed wheat production in Iran: (Potentieller Einfluss des Klimawandels auf die Weizenproduktion unter Rainfed-Bedingungen im Iran). Archives of Agronomy and Soil Science, 52, 113–124. 10.1080/03650340600560053
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2006

Model application

46
Liu, Buchun; Mei, Xurong; Lv, Guohua; Yang, Youlu; Bai, Meilan; Wu, Yongfeng; Song, Jiqing; Bai, Wenbo; 2012. The maize evapotranspiration in the background of climate change: a case study in arid area. Hydrological Processes, 26, 633–639. 10.1002/hyp.8161
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2012

Model application

2
Yu-Ping, M. A.; Shi-Li, Wang; Li, Zhang; Ying-Yu, H. O. U.; 2005. A PRELIMINARY STUDY ON THE RE-INITIALIZATION/RE-PARAMETERIZATION OF A CROP MODEL BASED ON REMOTE SENSING DATA. Chinese Journal of Plant Ecology, 29, 918. 10.17521/cjpe.2005.0127
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2005

Model application

3
Ko, Jonghan; Tim Ng, Chi; Jeong, Seungtaek; Kim, Jun-Hwan; Lee, Byunwoo; Kim, Han-Yong; 2019. Impacts of regional climate change on barley yield and its geographical variation in South Korea. International Agrophysics, 33, 81–96. 10.31545/intagr/104398
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2019

Model application

12
Beyene, Awetahegn Niguse; Zeng, Hongwei; Wu, Bingfang; Zhu, Liang; Gebremicael, Tesfay Gebretsadkan; Zhang, Miao; Bezabh, Temesgen; 2022. Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia. Big Earth Data, 6, 18–35. 10.1080/20964471.2020.1837529
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2022

Model application

2
Liu, Jiandong; Du, Jun; Liu, De-Li; Linderholm, Hans W.; Zhou, Guangsheng; Song, Yanling; Shen, Yanbo; Yu, Qiang; 2022. Spatial and Temporal Variations in the Potential Yields of Highland Barley in Relation to Climate Change in Three Rivers Region of the Tibetan Plateau from 1961 to 2020. Sustainability, 14, 7719. 10.3390/su14137719
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2022

Model application

0
Sebem, Elódio; 2005. Aportaciones de la teledetección en el desarrollo de un sistema metodológico para la evaluación de los efectos de cambio climático sobre la producción de las explotaciones agrarias. None, None, None. None
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2005

Model application

1
Chaudhari, K.N.; Tripathy, R.; Patel, N.K.; 2010. Spatial wheat yield prediction using crop simulation model, GIS, remote sensing and ground observed data. Journal of Agrometeorology, 12, 174–180. 10.54386/jam.v12i2.1300
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2010

Model application

1
Xu, Zhao; Zhao, Shuang; Qian, Xu; 2019. Extracting heavy metal stress indicators from remote sensing imagery using WOFOST model and wavelet packet decomposition algorithm. IOP Conference Series: Materials Science and Engineering, 592, 012056. 10.1088/1757-899X/592/1/012056
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2019

Model application

0
Roberts, Jamie; 2018. Seasonal and subseasonal forecasts : overview and applications for economics. None, None, None. 10.7289/V5/SG-NCRL-18-17
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2018

Model application

0
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Nr. of publications: 92
Total citations: 2823
h-index: 21
m-quotient: 0.55

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