This program is available at the following location:

• Corvallis

The Digital Agriculture & Conservation Systems Technology minor equips graduates with the skills to design and implement systems of technology in agricultural, conservation, and natural resource systems. Students will gain training in programming, data science, hardware, software, and systems thinking to understand complex systems and inform management decisions. Through interdisciplinary learning and emphasis on real-world applications, the credential fosters a workforce prepared to deliver technology-enabled solutions that benefit producers, consumers, and ecosystems. Students will apply systems thinking to guide data collection, analysis, interpretation, and communication of findings to stakeholders. They will analyze and develop data-driven solutions for agricultural and conservation systems, including evaluating predictions, describing limitations of analyses, and communicating findings to end users. Finally, students will identify emerging and established tools and techniques to characterize systems of interest for agriculture and conservation, develop novel hardware and software tools to inform decision support and management, and demonstrate the role of geospatial data and remote sensing in applications to digital agriculture and conservation.

Minor Code: A069

Upon successful completion of the program, students will meet the following learning outcomes:

• Analyze the hardware, software, data, and human components of agricultural, conservation, and natural resource systems.
• Apply artificial intelligence and data science approaches to problems in agricultural and natural resource systems.
• Assess established and emerging technologies to inform the management of agricultural and conservation systems.

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Baccalaureate Core course. Applies to general education requirements for undergraduate students in a catalog year up to 2024-2025

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Core Education course. Applies to general education requirements for undergraduate students in catalog year 2025-2026 and beyond

¹

For students with demonstrated proficiency in Python, this requirement may be waived with permission from an advisor and students will select additional credits from the Tools & Skills Electives to meet the required credit total. Examples may include prior coursework in programming, demonstrated completion of an online training program (e.g., free options through Khan Academy and Codecademy), sharing example code with an instructor, prior coursework not listed here, or similar demonstration of skills

²

In consultation with an academic advisor, select elective credits from any of the categories to meet a minimum requirement of 12 upper-division credits and 27 total credits in the minor

Minor Code: A069