This application was developed as part of the 2019 Spring Corteva Agriscience Hackathon by a team in Johnston, Iowa.
The theme of the hackathon was machine learning and we used a rudimentary algorithm inspired by genetic algorithms, the traveling salesman problem, and nearest neighbor concepts. In the end the application should find a very good answer quickly but may never discover the absolute best answer.
Team members include:
* Dave Spaulding, Solutions Architect
* Deann Nelson, Research Analysist
* Andrew Denner, Senior Software Developer
* Barry Nelson, Research Scientist
Copyright (C) 2026 Vylor
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see https://www.gnu.org/licenses/.