AgBiz Logic: Mapping geospatial location data to economic and environmental data

The AgBiz Logic Center, located in the Applied Economics Department, is looking for capstone students to enhance AgBiz Logic, an environmental, economic, and financial online decision tool for agricultural producers. For this project we are looking for a team of students to work on integrating geospatial data such as GIS shapefiles, latitude and longitude coordinates, and other types of location data. The purpose of this work is to relate the location of a physical farm field to the economic and environmental data in AgBiz Logic generated by the user. This will allow growers who use AgBiz Logic to better understand the economic and environmental impacts on each of their fields. 

Objectives


Load location information from GIS shapefiles to be viewed on the web. Determinate location based on lat/long coordinates if provided instead of a shapefile. Use available location data to determine the State and County of a farm field. 

Motivations


From working on the AgBiz Logic project, you'll gain software development experience in a small team startup environment. Technical experience will include backend web development, relational database administration, and RESTful API creation and management. 

Qualifications


Minimum Qualifications:
  • Experience with Python and Git.

Preferred Qualifications:
  • Knowledge of Django, AngularJS, or JSON.


Details


Project Partner:

Clark Seavert

NDA/IPA:

No Agreement Required

Number Groups:

1

Project Status:

Accepting Applicants

Website:
https://www.agbizlogic.com/
Keywords:
WebPythonOperations / CloudGeographic Information System (GIS)Consultancy
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