AGICam allows for farmers to collect and track data/images about the condition of their farm by installing AGIcam instances across their plots. Their information is collected efficiently and ensures that data is accurate.
Originating from Pullman WA, Washington State University Phenomics Lab developed an Auridino-based IOT camera system known as AGIcam. This camera is tasked with monitoring crop conditions in remote fields. AgroDevs is a team of 3 WSU computer science students tasked with evaluating and improving data transfer and compression as well as evaluating edge computing and minimal power consumption solutions. Improving these aspects will allow for AGIcam to provide a better user experience and reduce overhead for farms using the sensor. Our team is working directly with Dr. Sankaran to meet these goals and advance the prosperity of AGIcam. At the current stage of this project we are difrectly moving towards minimal power consmpution by rewriting our python implementation to C++ while providing extensive configurability allowing for our product to be easier to use and draw less power giving it a longer lifespan.
- gcc
- python
- pip
- openssl
- java
- wittypi
- wittypi allows for use to run our camera at specific times from a configuration file
Currently this project is not buildable.
- Allows for users to update a configuration file which controls the capture cycle of our camera
- Uploads pictures to Mongo Database with important data from the cameras
- Project is incomplete.
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request :D
- Project Overview
- Sprint 7 Overview
- Sprint 7 Video
- Sprint 6 Overview
- Sprint 6 Video
- Sprint 5 Overview
- Sprint 5 Video
- Sprint 4 Overview
- Sprint 4 Video
- Sprint 3 Overview
- Sprint 3 Video
- Sprint 2 Overview
- Sprint 2 Video
- Sprint 1 Overview
- Sprint 1 Video
MIT License. See LICENSE.txt