Sectors: Agriculture (Spraying Technology)
Development Model: Waterfall
Languages: Python
Technologies and Tools: AWS Elastic Beanstalk, Python, R, Flask, Sentinel, GDAL, Landsat 8
Background
VariMax is a start-up based out of Palmer, Kansas.
A group of researchers from Kansas State University developed an algorithm to produce nitrogen recommendations that produces high crop yield for growers based on satellite imagery. They started out using drones to prove the algorithm but then found a way to take it to large scale market by leveraging satellite imagery.
Challenges/successes/lessons learned:
Geospatial Data Abstraction Library (GDAL) tool was not trivial to set up like other 3rd party libraries. We could not install it on an Elastic beanstalk instance like we did with the sentinel image downloader. The only way we could get GDAL to run in a timely manner was to create a dedicated EC2 instance and install GDAL via Conda-forge (mini-conda, anaconda).
Team Composition:
One developer/architect/PM.
Responsibilities:
Genova was responsible for performing the following tasks::
- Develop a cloud application
- Create AWS infrastructure
Technologies:
- AWS: Elastic Beanstalk, EC2, SES, SQS
- Sentinel (Satellite Imagery vendor)
- GDAL
- Flask/Python
