AI and the Potato Industry

A 3-Hour Training Session for Growers, Industry & Support Organizations

Welcome to the AI Training Session

Artificial Intelligence is transforming industries across the globe, and agriculture is no exception. This 3-hour session is designed for the potato industry in South Alberta: mainly growers, people from the potato industry, and industry support organizations, with a mix of those interested from University, College, and Research Station. We'll explore how AI can support operations from field management to business optimization.

Whether you're managing crop yields, optimizing irrigation, analyzing market trends, supporting growers, or streamlining administrative tasks, AI offers powerful tools to work smarter, reduce costs, and increase productivity while maintaining the quality standards that define Alberta's potato industry.

Who’s doing potato + data?

From industry initiatives (e.g. Presia Ag Insights, Scale AI Precision Harvest) to research and CBC/Global stories on ag tech in Alberta and Canada—the Resources page has a curated list of Potato + Data projects and Media & coverage. No endorsement implied; we’re sharing what’s out there so you can explore.

To get the most out of today

Before you come, it helps to think of: one decision you revisit often; one report that always takes too long; and one place you already collect data (e.g. field notes, storage logs, grading records). We’ll refer to these as we go through where AI can help.

If you have a laptop or tablet, we’ll try a prompt together during the session.

Why This Training Matters

Stay Competitive: AI tools are becoming essential in modern agriculture. Learning about AI now positions your operation at the forefront of agricultural innovation and efficiency.
Increase Yields: AI can help optimize planting, irrigation, and harvesting schedules based on weather patterns, soil conditions, and historical data.
Reduce Costs: Smart AI systems can help minimize waste, optimize resource usage, and identify cost-saving opportunities throughout your operation.
Improve Decision-Making: AI-powered analytics can provide insights from complex data sets, helping you make more informed decisions about crop management, pricing, and market timing.
Streamline Operations: From automated record-keeping to predictive maintenance, AI can help reduce administrative burden and operational complexity.

📅 Session Overview

Event date: March 2026 (exact date TBC).

Time	Session	Description
9:30am – 10:20am	Session 1: The Basics of AI	An introduction to artificial intelligence, machine learning, and how these technologies work. We'll cover fundamental concepts in accessible terms, demystifying AI and explaining how it can be applied to agricultural operations.
10:30am – 11:20am	Session 2: AI in Business	Explore practical applications of AI to inform and streamline your potato growing business. We'll discuss real-world use cases including crop monitoring, predictive analytics, market analysis, and operational efficiency.
11:30am – 12:20pm	Session 3: Q&A Session	An interactive question-and-answer session addressing your specific questions and concerns. Questions will be solicited prior to the event to ensure we cover the topics most relevant to growers, industry, and support organizations.

🎯 Key Topics We'll Cover

🤖 AI Fundamentals

• What is AI and how does it work?
• Machine learning basics
• Common AI misconceptions

🌾 Agricultural Applications

• Crop monitoring & analysis
• Predictive yield modeling
• Weather & climate insights

💼 Business Optimization

• Market analysis & pricing
• Supply chain optimization
• Administrative automation

🔧 Practical Tools

• Getting started with AI tools
• Cost-benefit considerations
• Implementation strategies

🚀 Quick Start

New to AI in Agriculture? Start here:

View the slideshow - Complete overview in 20 slides (5-10 min)
Read AI Basics - Learn fundamental AI concepts for agriculture
Explore Business Applications - See how AI can streamline your operations
Browse the Prompt Library - Copy-ready prompts for yield, irrigation, market, disease, and budget
Try Practical Exercises - Hands-on scenarios with sample data for real farming situations
Read the Storage Case Study - AI for code and simulations (temp, gases, IoT sensors)

What to Expect

Accessible Content: No technical background required. We'll explain AI concepts in terms relevant to growing, industry, and support roles.
Real-World Examples: Practical demonstrations and case studies from the potato industry and agricultural operations.
Interactive Discussion: Opportunities to ask questions and share experiences throughout the sessions.
Actionable Insights: Take away concrete ideas and strategies you can use in your role—whether on the farm, in industry, or in research and education.
Resource Materials: Access to additional resources and tools for continued learning after the session.

Ready to Explore?

Navigate through the session materials using the links above:

Session 1: AI Basics Session 2: AI in Business Session 3: Q&A Resources