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dc.contributor.advisorGooch, Bruce
dc.contributor.advisorRajan, Nithya
dc.creatorBain, Nicolas Hunter
dc.date.accessioned2019-10-15T15:58:11Z
dc.date.available2019-10-15T15:58:11Z
dc.date.created2019-05
dc.date.issued2019-04-25
dc.date.submittedMay 2019
dc.identifier.urihttps://hdl.handle.net/1969.1/184324
dc.description.abstractAgriculture is a major consumer of freshwater resources around the world. This especially true in Texas, where water withdrawal for agriculture purposes causes the continuous decline of local aquifers. To minimize the effects of this withdrawal and ensure freshwater resources have ample time to replenish themselves, it is important for crop producers to be accurate in their irrigation applications. This research exhibits a web platform that utilizes remote imagery and real-time weather data to generate irrigation recommendations for producers on a field-by-field basis. These recommendations allow producers to accurately gauge how much water their crops require on a daily basis and manage their irrigations throughout the growing season.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectirrigationen
dc.subjectweb-baseden
dc.subjectplatformen
dc.subjectcsen
dc.subjectagricultureen
dc.subjectlandsaten
dc.subjectimageryen
dc.subjectevapotranspirationen
dc.subjectruby-on-railsen
dc.titleAn Interactive Crop Analysis Platform for Irrigation Schedulingen
dc.typeThesisen
thesis.degree.departmentComputer Science and Engineeringen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberSueda, Shinjiro
dc.type.materialtexten
dc.date.updated2019-10-15T15:58:11Z
local.etdauthor.orcid0000-0002-8058-9278


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