Strategic Fit Analysis: Using technology to reduce pre-harvest losses in sugar beets

dc.contributor.authorDrye, Shelby
dc.date.accessioned2019-07-26T14:15:01Z
dc.date.available2019-07-26T14:15:01Z
dc.date.graduationmonthAugusten_US
dc.date.published2019en_US
dc.description.abstractThe Imperial Valley sugar beet industry suffers a revenue loss of 1.1 million dollars on average each year. This loss is due to the amount of sugar beet acres replanted as well as abandoned. Current methods of crop management are proving the need for more advanced technology that will allow producers and processors of sugar beets to recover lost revenue. This thesis was undertaken to study the use of ArcGIS, a new technology created for on-farm management, as a tool to reduce crop loss in sugar beet fields. The research not only found a revenue loss of 1.1 million dollars on average annually, but also the cause for the amount of sugar beet acres re-planted and abandoned, due, in part, to poor on-farm management of diseases. After interviewing growers, evaluating current farm technologies, and analyzing five-year production statistics, it is the recommendation of this study that ArcGIS would be best used to improve on-farm management decisions.en_US
dc.description.advisorKeith D. Harrisen_US
dc.description.degreeMaster of Agribusinessen_US
dc.description.departmentDepartment of Agricultural Economicsen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/39833
dc.subjectStrategic Fiten_US
dc.subjectSugar Beetsen_US
dc.subjectArcGISen_US
dc.subjectEconomicsen_US
dc.subjectImperial Valleyen_US
dc.titleStrategic Fit Analysis: Using technology to reduce pre-harvest losses in sugar beetsen_US
dc.typeThesisen_US

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