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Data & statistics on Corn Production in Illinois – 6 results
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Corn yield/production at Illinois from 2000 to 2005. Black open squares show the variation of corn yield (bushel/acre) released in December of the given year; blue open triangles show the variation of production (bushel) released in December of the given year. The red filled square shows the 2005 yield prediction from the National Agricultural Statistics Service (NASS) released in August 2005.

Corn yield/production at Illinois from 2000 to 2005. Black open squares show the variation of corn yield (bushel/acre) released in December of the given year; blue open triangles show the variation of ...

cybele.bu.edu/download/thdis/zhping.PHD.pdf

Corn Yield/Production at Illinois Yield Production Yield (bushel/acre) ...
Production (10 bushel) ...
illinois

Jan 2005 | Welcome to the Climate and Vegetation Research Group, Boston University
Original Url: http://cybele.bu.edu/download/thdis/zhping.PHD.pdf
Linear Model between Crop Production (dependent) and Climate-Variability Impact Index (independent) at District Level. The first model is generated from 72 samples from Illinois and North Dakota using both corn and spring wheat. The second model is generated from 36 corn samples from Illinois.

Linear Model between Crop Production (dependent) and Climate-Variability Impact Index (independent) at District Level. The first model is generated from 72 samples from Illinois and North Dakota using ...

cybele.bu.edu/download/thdis/zhping.PHD.pdf

also indicate that NPP is not as good a predictor as LAI, at least for corn production prediction in Illinois. One possible reason of this might be the saturation of the NPP ...
the best correlation between CVII and production, is not a good monitoring tool ...
illinois, north dakota

May 2007 | Welcome to the Climate and Vegetation Research Group, Boston University
Original Url: http://cybele.bu.edu/download/thdis/zhping.PHD.pdf
Relationship between growing-season (Apr-Aug) CVII and crop production over the study regions of Illinois, South Dakota and North Dakota. MODIS landcover maps are used to select the cereal crops (wheat) and broadleaf crops (corn). The growing-season CVII is calculated for each county using Equation 4.3 in Section 4.3. The production anomaly is normalized by the 2000-2004 average using NASS’s estimates ...

Relationship between growing-season (Apr-Aug) CVII and crop production over the study regions of Illinois, South Dakota and North Dakota. MODIS landcover maps are used to select the cereal crops ( ...

cybele.bu.edu/download/thdis/zhping.PHD.pdf

Impact Index (independent) at county Level. The first model is generated from corn counties. The second model is generated from wheat counties. The third model is generated both corn counties and wheat counties. Production Anomaly Growing-season CVII ...
Growing-season CVII vs Production Anomaly R=0.70 Wheat Corn ...
illinois, north dakota, south dakota

Jan 2004 | Welcome to the Climate and Vegetation Research Group, Boston University
Original Url: http://cybele.bu.edu/download/thdis/zhping.PHD.pdf
Correlation between corn production from model predictions and USDA estimates at 9 Illinois crop-reporting districts in 2004 (Filled squares). The empty squares are model predictions versus USDA estimates in 2000-2003 (the training period for the prediction model). Correlation (R) and Heidke Skill Score (HSS) are calculated using the equations in Section 3.4. Left panel is the result of linear model ...

Correlation between corn production from model predictions and USDA estimates at 9 Illinois crop-reporting districts in 2004 (Filled squares). The empty squares are model predictions versus USDA ...

cybele.bu.edu/download/thdis/zhping.PHD.pdf

illinois, north dakota

Jan 2004 | Welcome to the Climate and Vegetation Research Group, Boston University
Original Url: http://cybele.bu.edu/download/thdis/zhping.PHD.pdf
Evolution of the R-square of four models as a function of the number of predictors. Left panel shows the result from the ideal model in Illinois and North Dakota at crop-reporting district level. Only significant predictor months are shown – see text for

Evolution of the R-square of four models as a function of the number of predictors. Left panel shows the result from the ideal model in Illinois and North Dakota at crop-reporting district level. Only ...

cybele.bu.edu/download/thdis/zhping.PHD.pdf

of predictors. The USDA estimates of corn production in Illinois from 1982 to 1999 ...
are generated from 5 corn states, MN, MI, IA, IN and WI, using the data from 1982 to 1999 ...
illinois, north dakota

May 2007 | Welcome to the Climate and Vegetation Research Group, Boston University
Original Url: http://cybele.bu.edu/download/thdis/zhping.PHD.pdf
Linear Model between Crop Production (dependent) and Climate-Variability

Linear Model between Crop Production (dependent) and Climate-Variability

cybele.bu.edu/download/thdis/zhping.PHD.pdf

Impact Index (independent) at county Level. The first model is generated from corn ...
is generated both corn counties and wheat counties. ...
illinois, north dakota, south dakota

May 2007 | Welcome to the Climate and Vegetation Research Group, Boston University
Original Url: http://cybele.bu.edu/download/thdis/zhping.PHD.pdf
Related searches: total north dakota potato production, wisconsin corn for grain production, corn and soybean production in greene county, total area planted to the main south african crops, indices of net farm income by farm type

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