Crop Yield Forecasting
1qKZxmS
1qKZxmS
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Liu, W., Chen, H., Yu, W. & Liu, Z. 2008. Dynamic Output Forecast Research for Winter Wheat Based<br />
on Climatic Suitability Index. Meteorological and Environmental Sciences. 31(2): 21-24 (In Chinese with<br />
English abstract).<br />
Ma, J. (ed.). 2013. China’s Main Statistical Concepts: Standards and Methodology (2 nd edition). China<br />
Statistics Press: Beijing.<br />
Meng, Q., Li, Q. & Wu, B. 2004. Operational <strong>Crop</strong> <strong>Yield</strong> Estimating Method for Agricultural Statistics.<br />
Sinic Journal of Remote Sensing, 8(6): 602-610 (in Chinese with English abstract).<br />
Pan, Y., Wang, M., Wei, G., Wei, F., Shi, K., Li, L. & Sun, G. 2010. Application of Area-frame sampling<br />
for agricultural statistics in China. Paper presented at the Fifth International Conference on Agricultural<br />
Statistics (ICAS-V). Available at http://www.fao.org/fileadmin/templates/ess/documents/meetings_and_<br />
workshops/ICAS5/PDF/ICASV_5.3_034_Paper_Wang.pdf, accessed on 16 October 2015.<br />
Pan, Y., Zhang, J., Zhou, W., Zhao, J. & Yu, X. 2012. Methodology of the <strong>Crop</strong>s Acreage Estimation Using<br />
Remote Sensing and Survey Sampling in National Statistical System of China. 2012 First International<br />
Conference on Agro-Geoinformatics, 1-4.<br />
Peng, D. 2009. The Study on the Method of Rice <strong>Yield</strong> Estimation Using Statistical and MODIS Data.<br />
ZhengJiang University. (Ph.D. Thesis) (in Chinese with English abstract).<br />
Ren, J., Chen, Z., Zhou, Q. & Tang, H. 2008. Regional yield estimation for winter wheat with MODIS-NDVI<br />
data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation, 10:<br />
403-413<br />
Shen, S., Yang, S., Li, B., Tan, B., Li, Z. & Le, T. 2009. A scheme for regional rice yield estimation using<br />
ENVISAT ASAR data. Science in China (Series D: Earth Sciences), 39(6): 763-773.<br />
Su, T., Wang, P., Liu, X. & Yang, B. 2011. Spring Maize <strong>Yield</strong> Estimation Based on Combination of<br />
<strong>Forecasting</strong> of Entropy Method and Multi-temporal Remotely Sensed Data. Transactions of the Chinese<br />
Society For Agricultural Machinery. 42(1): 186-192 (in Chinese with English abstract).<br />
Supit, I. & Goot, E.V.D. 2003. Updated system description of the WOFOST crop growth simulation<br />
model as implemented in the <strong>Crop</strong> Growth Monitoring System applied by the European Commission.<br />
Treemail Publishers: Heelsum, The Netherlands. Available at http://supit.net/main.php?q=aXRlbV9pZD-<br />
02Mg. Accessed 20 February 2015.<br />
Tang, Y., Huang, J., Wang, R. & Wang, F. 2004. Comparison of yield estimation simulated models of<br />
rice by remote sensing. Transactions of the Chinese Society of Agricultural Engineering, 20(1): 166-171<br />
(in Chinese with English abstract).<br />
Teng, F., Chen, Z., Wu, W., Huang, Q., Li, D. & Xia, T. 2012. <strong>Yield</strong> estimation of winter wheat in North<br />
China Plain by using crop growth monitoring system (CGMS). In First International Conference on<br />
Agro-Geoinformatics (pp. 1-4). IEEE Publication.<br />
Vogel, F.A. 1999. Review of Chinese <strong>Crop</strong> Production <strong>Forecasting</strong> and Estimation Methodology.<br />
Miscellaneous Publication No. 1556. National Agricultural Statistics Service, U. S. Department of<br />
Agriculture Publication.<br />
Wang, J. & He, Y. 2009. Introduction of Agro-meteorological Information Services in China. Presentation<br />
prepared for the GEO Workshop on Agricultural Monitoring, 11-13 February 2009. Beijing. Available at<br />
https://www.earthobservations.org/documents/cop/ag_gams/200902_04/12%20agro_met_information_<br />
services_in_china_Wang_Jianlin.pdf. Accessed on 22 February 2015.<br />
<strong>Crop</strong> <strong>Yield</strong> <strong>Forecasting</strong>: Methodological and Institutional Aspects 231