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|Title:||A Field Information System for Site-Specific Crop Management|
|Doctoral Committee Chair(s):||Goering, Carroll E.|
|Department / Program:||Agricultural Engineering|
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
|Abstract:||Site-specific crop management (SSCM) is an old idea which new technology has given renewed impetus within the last decade. In this thesis, several theoretical analyses on SSCM were done; these were the benefits and costs analysis, cell size selection, and the blocking of spatial soil data.
Field information system (FIS) is a software system specifically for SSCM. The FIS can perform data input, data analysis, query, and generation of application rate maps. Many issues in designing the FIS were discussed.
The following conclusions were drawn: (1) Equations for predicting the maximum yield increases and the maximum material (fertilizer) savings by SSCM were developed. At high management levels, SSCM provides much greater potential for material savings than for yield increases. (2) A mean correlation distance (MCD) was developed for use in estimating the upper limit of cell size in SSCM. Theoretical guidelines were also developed which permit calculation of minimum cell size based on accuracy of the positioning system and the desired probability that the positioning system will always identify the correct cell. The lower limit of cell size appears to be in the range from 10 m to 20 m. For the example field at the University of Illinois Agricultural Engineering Research Farm, the upper limit of cell size would likely be in the range from 20 m to 50 m. (3) A general data blocking procedure was developed for converting soil sample data to cell values. A nonparametric algorithm was implemented in the procedure, which reduces computer time tremendously. Test results showed that the blocking errors of the nonparametic method are nearly the same as with the kriging method. (4) Four agronomic models for determining the optimum application rates of N, P, K, and lime were implemented in the FIS. For these applications, only eight base maps are identified. A large spatial database may not be required for SSCM. (5) A prototype FIS was developed for use in Illinois.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.
|Date Available in IDEALS:||2014-12-17|
This item appears in the following Collection(s)
Dissertations and Theses - Agricultural and Biological Engineering
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois