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dc.contributor.advisorKorgaonkar, Yoga
dc.contributor.authorReiff, Jeffrey
dc.date.accessioned2023-12-13T23:52:46Z
dc.date.available2023-12-13T23:52:46Z
dc.date.issued2023-12
dc.identifier.urihttp://hdl.handle.net/10150/670220
dc.description.abstractStage and lifecycle crop monitoring and assessment are pivotal in agriculture and farming. The increase in global populations, food demand, tighter regulations, and the overall cost of doing business have increased the burden on farmers to meet these challenges while sustaining their businesses and the environment. Farmers must adapt their growing and harvest operations to increase yields that meet the global market and adhere to sustainable farming standards that combat environmental impacts. All while reducing their operating costs. Crop management is often a fieldwork and labor-intensive data collection process. This work will highlight how modern technology in the areas of remote sensing, raster analytics, Geographic Information Systems (GIS), and WebGIS can be applied to analyze and process raster data and environmental information that can be used to calculate vegetation indices. If properly applied, these derived datasets and analyses can be transformed into web services for modern farm equipment and native mobile or web applications for field work, informing precision agriculture practices to tackle the problems mentioned above that today’s local farmers and agronomists encounter.en_US
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectPrecision Agricultureen_US
dc.subjectCrop Scoutingen_US
dc.subjectSpatial Analysisen_US
dc.subjectGISen_US
dc.subjectRemote Sensingen_US
dc.titlePRECISION AGRICULTURE THROUGH LOCAL RASTER SPATIAL ANALYSIS FOR CROP SCOUTINGen_US
dc.typeElectronic Reporten_US
dc.typetext
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGeographic Information Systems Technologyen_US
thesis.degree.nameM.S.en_US
dc.description.collectioninformationThis item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.en_US
refterms.dateFOA2023-12-13T23:52:48Z


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