Precision Water Management in Corn Using Automated Crop Yield Modeling and Remotely Sensed Data

Sudhanshu Sekhar Panda ； Dean D. Steele ； Suranjan Panigrahi ； Daniel P. Ames

《International Journal of Remote Sensing Applications》 1卷1期 (2011/12) Pp. 11-21

並列摘要

A model of crop yield versus seasonal water use was developed based on late July and early August vegetation aerial image data; bare soil image data; land elevation data; climatic data (temperature, accumulated growing degree days, solar radiation, rainfall); and non-climatic non-imagery data (irrigation application). All parameters were integrated from the germination date to the aerial image acquisition date and a radial basis functional network yield prediction model was developed. The resulting model provided an average prediction accuracy of 91% with a correlation coefficient (r) of 0.65. The standard error of prediction (SEP) and Root Mean Square Error (RMSE) obtained from the model was only 9.62% and 10.2% of the average actual yield of the test dataset. A linear fit model was created using the spatially predicted corn yields versus the corresponding estimated ET for the crop. An R^2 of 0.65 was obtained from the model. A studentized residual test and Q-test suggested several probable outliers in the test data. After the elimination of these outliers, the linear fit model between estimated ET and predicted corn yield provided an improved R^2 of 0.81. It is expected that farmers and analysts could use the developed water use model to estimate the seasonal water requirement for corn in a midseason cropping period.

並列關鍵字

Evapotranspiration ； radial basis function network (RBFN) ； Aerial imaging ； Principal component analysis (PCA) ； Water use model ； Outlier analysis