dc.contributor.advisor | Gooch, Bruce | |
dc.contributor.advisor | Rajan, Nithya | |
dc.creator | Bain, Nicolas Hunter | |
dc.date.accessioned | 2019-10-15T15:58:11Z | |
dc.date.available | 2019-10-15T15:58:11Z | |
dc.date.created | 2019-05 | |
dc.date.issued | 2019-04-25 | |
dc.date.submitted | May 2019 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/184324 | |
dc.description.abstract | Agriculture 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.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | irrigation | en |
dc.subject | web-based | en |
dc.subject | platform | en |
dc.subject | cs | en |
dc.subject | agriculture | en |
dc.subject | landsat | en |
dc.subject | imagery | en |
dc.subject | evapotranspiration | en |
dc.subject | ruby-on-rails | en |
dc.title | An Interactive Crop Analysis Platform for Irrigation Scheduling | en |
dc.type | Thesis | en |
thesis.degree.department | Computer Science and Engineering | en |
thesis.degree.discipline | Computer Science | en |
thesis.degree.grantor | Texas A & M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Sueda, Shinjiro | |
dc.type.material | text | en |
dc.date.updated | 2019-10-15T15:58:11Z | |
local.etdauthor.orcid | 0000-0002-8058-9278 | |