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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Production Systems Research » Research » Publications at this Location » Publication #278036
Title: MIST: a web-based irrigation scheduling tool for Mississippi crop production

Author
item RICE, BRANDON - Mississippi State University
item CRUMPTON, JOE - Mississippi State University
item SCHMIDT, AMY - Mississippi State University
item Sassenrath, Gretchen
item Schneider, Jeanne

Submitted to: Mississippi Water Resources Research Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 2/7/2012
Publication Date: 4/3/2012
Citation: Rice, B., Crumpton, J., Schmidt, A.M., Sassenrath, G.F., Schneider, J.M. 2012. MIST: a web-based irrigation scheduling tool for Mississippi crop production. Mississippi Water Resources Research Conference Proceedings. 10:4.

Interpretive Summary:

Technical Abstract: Increased reliance on supplemental irrigation has begun to deplete the alluvial aquifer in the Mississippi Delta region. To alleviate nonproductive overuse of groundwater resources, we are developing a web-based irrigation scheduling tool. The Mississippi Irrigation Scheduling Tool (MIST) uses a water balance approach, calculating evapotranspiration from weather data using standard ET equations. User input is streamlined by relying on automatic integration of soils data and weather information from national databases. MIST is currently being tested in various production management scenarios for corn and soybeans and for different alluvial soils common to the Mississippi Delta. The web interface allows users to input the necessary data that is required to compute the aforementioned formulas. Users then will be able to access the irrigation scheduling information remotely. Using java, jsps, and a SQL database, the web interface attempts to be easy to use for all users. The data that must be entered by a user should be data that is common or easily accessible knowledge to a farmer. Google Maps provides a framework to display and select the features (maps, fields, and wells) via the Internet, minimizing computation resources needed by users. Following completion of testing and validation, the research team is planning a tentative general release for the 2013 growing season.