Analyzing color infrared aerial photographs for the delineation of management units in site-specific agricultural management
This poster addresses the potential of a color infrared aerial photograph to provide spatially distributed information for site specific management. In this process digitized color infrared aerial photographs were used to extract vegetation index information. Crop and soil information were obtained through field sampling. Most important factors for affecting crop productivity were determined using principal component analysis. Point information were interpolated using kriging to create grid surface of the study area. Centroid of each grid cell was used to collect crop and soil information, and vegetation index at a regular interval throughout the study area. Fuzzy k-means with extra-grades algorithms were used to delineate potential within-field management units based on soil and crop information and vegetation index separately. Within-zone grain yield variation were calculated and used to evaluate management zones. The methodology is fast, can be easily automated in commercially available GIS software and has considerable advantages when comparing to other methods for delineating within-field management zones.
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