In a recent conversation with Trevor Cox, founder of Terrantic, he shared insights on how modern AI and data platforms are transforming agriculture. By analyzing variables like weather, soil, irrigation, and field practices, AI can help farmers improve profitability and efficiency. Trevor highlighted key questions that AI can answer, such as identifying the best-performing blocks, reducing costs, and determining optimal packing times. With a decade's worth of data, AI is making it possible to achieve results that were previously unimaginable. To learn more, click here to listen to the original podcast: https://pnwag.net/time-with-terrantic-making-the-impossible-possible/
Transforming Agriculture with AI: Insights from Trevor Cox of Terrantic
The Complexity of Agricultural Variables
Agriculture is a field of countless variables: weather patterns, field locations, soil types, irrigation practices, mold issues, and diverse field practices. Trying to analyze and optimize these variables manually through Excel spreadsheets is an insurmountable task. However, modern AI and data platforms can revolutionize this process. By ingesting vast amounts of historical data, these systems can analyze various practices and variables, paving the way for more profitable and efficient agricultural practices.
Common Questions in Agriculture
Trevor shared some of the fundamental questions that growers and agricultural businesses seek to answer using modern data platforms:
Which Block is Performing Better and Why? By comparing different branch managers and their styles, businesses can identify what’s working, who’s performing better, and why. This analysis helps optimize practices across all assets.
How Can Costs be Reduced by 10%, 20%, or 30%? Understanding cost reduction starts with identifying areas to analyze and improve. Modern data platforms provide insights into where and how to achieve these savings.
What Could Be the Target Grade and Size for Each Block to Achieve Maximum Profitability? With decades worth of data, businesses can set specific targets for grades and sizes to optimize profitability. AI systems can analyze this historical data to suggest the best strategies.
What is the Optimal Week to Pack Each Crop to Achieve Maximum Profitability? In the packing phase, determining the optimal timing is crucial. AI can evaluate historical and contextual data to recommend the best weeks for packing to maximize profits.
The Roadmap to Success
Trevor emphasizes that the journey to leveraging AI in agriculture starts with asking the right questions. The traditional narrative of lengthy and costly ERP upgrades is outdated. Modern data systems and AI offer a more efficient, cost-effective path. By integrating these technologies, agricultural businesses can achieve improvements that were previously unattainable through manual processes.
Conclusion
The world of agriculture is evolving, and modern AI and data platforms are at the forefront of this transformation. By addressing complex variables and asking the right questions, businesses can unlock new levels of profitability and efficiency. To learn more about how AI can revolutionize your agricultural practices, visit .
The blog discusses the current challenges faced by growers and packhouse operators, such as lower market prices and rising input costs. Despite these...
Trevor Cox
Feb 28, 2025
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Terrantic focuses on providing modern data platforms and AI solutions to enhance efficiency and profitability for farmers, packinghouses, and food processors. Terrantic’s solutions enable real-time data collection and analysis, helping businesses catch mistakes early and improve operations. Additionally, they promote using AI to analyze historical data and optimize various aspects of agricultural production and packing for maximum profitability.