Crop Yield Forecasting

List of Figures
BELGIUM
FIGURE 1.1
FIGURE 1.2
FIGURE 1.3
FIGURE 1.4
FIGURE 1.5
FIGURE 1.6
FIGURE 1.7
B-CGMS descriptive flowchart
Synthetic flowchart of the B-CGMS
The Normalized Difference Vegetation Index
Crop Growth Model simplified scheme
Flowchart of the data for yield forecasting in the B-CGMS, with the
StatCaT Statistical Toolbox
Architecture of the B-CGMS database management system
Architecture of the B-CGMS GIS server
CHINA
FIGURE 2.1
FIGURE 2.2
FIGURE 2.3
The National Bureau of Statistics’ general methodology
for yield estimation
Flow chart of NDVI-based statistical model in CHARMS
Data sources and institutional structure of official yield forecasting
organizations
MOROCCO
FIGURE 3.1
FIGURE 3.2
FIGURE 3.3
FIGURE 3.4
FIGURE 3.5
FIGURE 3.6
FIGURE 3.7
FIGURE 3.8
FIGURE 3.9
The CGMS-MAROC’s institutional structure
The design of the CGMS-MAROC’s system
Input data for Levels 1, 2, and 3 of the CGMS-MAROC
Overview of the CGMS-MAROC crop monitoring components
Output data from Levels 1, 2 and 3 of the CGMS-MAROC
The linear regression and similarity analysis tool
Linear regression between observed and predicted yields
The coefficient of determination (R2) of regression models between
yields of the three main cereals (soft wheat, durum wheat, and barley)
at national level from February to April (data from 1999 to 2011)
Information systems coordinated by the Ministry of Agriculture
SOUTH AFRICA
FIGURE 4.1
FIGURE 4.2
FIGURE 4.3
FIGURE 4.4
FIGURE 4.5
FIGURE 4.6
FIGURE 4.7
FIGURE 4.8
FIGURE 4.9
Overview of the members of the CELC, CEC, National Crop Estimates
Consortium (NCSC) and of the data input providers
Percentage of over/under estimation of the final maize forecast
(seventh forecast) by the CEC since 2000, compared to the final
estimate (reconciled figures) at the end of the season
Model used to classify the data inputs to the CEC
Stratification for summer crops
Objective Yield Survey for maize
Kernel determination
Methodology for determining number of ears in a wheat field
Graphic description of the trend analysis
Digitized crop field boundaries
Crop Yield Forecasting: Methodological and Institutional Aspects 21