Web, QA, Embedded
Hummingbird is a drone-enabled data and imagery analytics information system for precision agriculture. This technology uses the most advanced machine learning and computer vision techniques, delivering actionable insights on crop health directly to the field. The system collects images and uploads to the Hummingbird cloud, before being processed with proprietary computer vision algorithms and machine learning techniques.
Extend the functionality of the UI for better user interactions.
Implement new functionality displaying additional records for maps.
Add new functionality for area selection and marks on maps.
Develop and test new functionality for layers on maps.
Finalize the admin part of the information system for recording flights and administering information, adding users, farms, fields etc.
Suggested solutions from Svitla:
Use the existing set of libraries to effectively solve front-end tasks.
Cover all functionality on the front-end with unit tests.
Intensively use continuous integration and unit tests on the front-end.
Use advanced functions of the leaflet library to display additional information on maps.
Unit tests: mocha, chai
Libraries: React.JS, Redux, leaflet
Tools: git, continuous integration, Scrutinizer, Trello
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