Viacheslav I. Adamchuk

Tutorial on Application of Manifold GIS Software for Precision Agriculture

 Lesson 3 - Processing a Multi-Layer Yield History

Yield maps represent probably the most valuable data layers when it comes to identification of problematic field areas and setting up spatially variable yield goals. In most instances, at least 5 years of yield history is needed to make strong conclusions in terms of spatial and temporal variability of field productivity. The preliminary step toward yield data analysis is converting log files from proprietary binary code to an ASCII text with columns corresponding to geographic latitude, longitude, yield and other relevant attributes. During conversion, or right after it, each layer of yield data should be adjusted for various combine dynamics delays and filtered to remove all the records containing erroneous data. This can be achieved with the number of options. Most agriculturally-oriented software packages with GIS components (e.g., SMS, FarmWorks, FOViewer, etc.) can be used to open binary yield files and to extract data corresponding to individual fields. Some portion of data filtering can be accomplished during this conversion. However, additional, more advanced, data processing should be pursued to recognize less obvious problematic records and assure higher quality of the resulting yield maps. Yield Editor and Yield Check are two examples of free software designed for advanced filtering of yield data. Clean layers of yield data should be integrated through the averaging of normalized surfaces or various classification procedures aimed at the establishment of management zones. This lesson provides an example of yield history analysis based on two years of corn and three years of soybean records.


Instructions Objective
Input data
Output project
Yield data cleanup
Exercise_3-2.pdf Single season yield map display &
Exercise_3-3.pdf Yield goal estimation
Exercise_3-4.pdf Yield classification
Yield map layout

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