CHEME 6840

AI for Digital Agriculture

Course Description

Course information provided by the 2025-2026 Catalog.

This course focuses on the application of artificial intelligence (AI) in the digital transformation of agriculture. Students will explore how AI techniques are applied to optimize and automate agricultural systems, improve productivity, and enhance sustainability. The course covers a broad range of topics, including AI-driven crop management, precision farming, livestock monitoring, and data analytics for sustainable agriculture. Case studies on AI applications in plant and animal production systems, as well as food supply chains, will provide practical insights into the future of farming. Students will engage in discussions on the ethical, social, and economic implications of AI in agriculture, while hands-on projects will offer experience in applying AI tools to real-world agricultural challenges.

Exploratory Studies (CU-SBY)

Last 4 terms offered (None)

Outcomes REF-FA25

• Understand the role of AI in transforming agricultural practices for improved efficiency and sustainability.
• Apply AI techniques to optimize crop production, livestock management, and resource use in agriculture.
• Analyze case studies of AI-driven innovations in digital agriculture, including precision farming, smart irrigation, and disease detection.
• Identify challenges and trends in AI for sustainable food systems, addressing environmental, social, and economic considerations.

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