In this Student-Originated Studies, students will learn data management, systems engineering, navigating and aligning curriculum resources, and long-term planning to automate and sustain data collection at the Organic Farm, in collaboration with the Principles of Farming (POF) and Advanced Computing and Machine Learning with Applications to Biology (ACMLAB) program in winter quarter.
Students will plan, design, and document a system for providing internet access and solar power to the new wash station with a single-board computer or Internet-of-Things network of devices to provide manual data entry (by keyboard) and automated data entry (barcode scanner and weight sensor) alongside the current paper system. The final two deliverables will be a research poster and a system design and architecture document which will include sections for a planned bill-of-materials and estimated budget; accessible user interfaces and a web design; long-term maintenance; cybersecurity considerations; physical, data, or software failure modes and their workarounds. This report will be published on a public-facing website and archived with the Evergreen library. The report will be used as a basis for implementation, engineering, and integration testing in future quarters.
Students will learn and connect with any or all of the following sources of feedback, engineering guidance, and system reviews and approvals: science instructional technicians, the Science Support Center, the academic grants department, the Center for Climate Action and Sustainability, the Center for Community-Based Learning and Action, the Center for Entrepreneurial Leadership and Transformational Change, the faculty hiring process, the GRuB (Garden-Raised Bounty) non-profit in Olympia.
Faculty and students will meet weekly to identify, request, and co-present workshops to each other on topics supporting the above work, co-present and lead discussions with ACMLAB's hexapod robotics thread and interested students of POF, provide feedback to each other, and introduce members of the Evergreen community to this project for their input.
Students should have completed a quarter of Data Structures & Algorithms or Principles of Farming, or have intellectual maturity in computation, engineering, or farm work. Please contact the instructors for a signature.
Registration
Students should have completed a quarter of Data Structures & Algorithms or Principles of Farming, or have intellectual maturity in computation, engineering, or farm work. Please contact the instructors for a signature
Students need to have taken lower division computer science or principles of farming. Contact Paul Pham for a signature override.