Abstract
Geospatial Modeling of Wine Grape Quality Using ArcGIS Track: Agriculture Author(s): Sivakumar Sachidhanantham, Robert Wample, Matthew Yen, Balaji Sethuramasamyraja Segregation of wine grapes based on quality has typically been accomplished by hand harvest. There is a growing need to mechanize this task. The typical quality indicators for red wine grapes are anthocyanin and brix. Anthocyanins contribute most of the color to red wine while brix estimate sugar content, which is commonly used to determine harvest date. Anthocyanin and Brix levels of geo-referenced field samples of Cabernet Sauvignon were measured using a portable near-infrared (NIR) spectrometer. Data was collected from 437 sampling points in a 45 acre vineyard near Lodi, California. ArcGIS 9.1 was used for the geospatial analysis of these quality indicators. Subsequently, the anthocyanin data was used to produce a 'high' and 'low' quality map of the vineyard. The anthocyanin concentration used to differentiate between high and low quality was 0.87 mg anthocyanin/g fruit. Based on this map, wine grapes were differentially harvested successfully. Sivakumar Sachidhanantham California State University, Fresno Industrial Technology 5113 N 9th St #101 Fresno , CA 93710 US Phone: 559 274 5542 E-mail: azar62siva@yahoo.com Robert Wample California State University, Fresno Department of Viticulture and Enology 2360 E Barstow Ave M/S VR89 Fresno , CA 93740 US Phone: 559 278 2089 E-mail: rwample@csufresno.edu Matthew Yen California State University, Fresno Department of Industrial Technology 2255 E Barstow Ave m/s IT9 Fresno , CA 93740 US Phone: 559 278 2145 E-mail: matthewy@csufresno.edu Balaji Sethuramasamyraja California State University, Fresno Department of Industrial Technology 2255 E Barstow Ave m/s IT9 Fresno , CA 93740 US Phone: 559 278 2333 E-mail: balajis@csufresno.edu |
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