Design of an Intelligently Irrigated Agriculture Decision Support Service System
poster
posted on 2019-07-23, 19:56 authored by Eugene Yu, Liping Di, Li Lin, Haoteng Zhao, Md. Shahinoor Rahman, Chen Zhang, Junmei TangDecisions on efficient irrigation in agriculture call for information
service requirements of supporting diverse data products, reactive,
responsive, and progressive. A full stack design of Web geographical
information service system is developed to efficiently serve farmers in
irrigated agriculture up to fields. This poster was presented in July 2019 at the Earth Science Information Partners (ESIP) Summer Meeting held in Tacoma Washington.
Funding
The study was funded by NSF INFEWS/T2 Award #1739705. The project Principle Investigator is Professor Liping Di.
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intelligent agricultureWeb GISResponsive designprogressive Web applicationWeb serviceirrigationESIP Summer 2019Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)Decision Support and Group Support SystemsInformation Retrieval and Web SearchInformation SystemsInformation Systems Development MethodologiesWeb Technologies (excl. Web Search)
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