Digging In: High-Tech Transformation of Modern Farming

June 4, 2026

Listen up!

In this episode, Garland interviews Nancy Post, a senior adviser at Boston Consulting Group and former Vice President of Technology at John Deere. The discussion centers on how technology — including artificial intelligence, robotics, and automation — is fundamentally transforming the modern food system to meet the challenge of feeding a global population expected to reach 10 billion by 2050.

Podcasts

Digging In: High-Tech Transformation of Modern Farming

Agricultural Labor

Agriculture Technology

Food Production

Global Food

Soil and Crop Management

June 4, 2026

Listen up!

In this episode, Garland interviews Nancy Post, a senior adviser at Boston Consulting Group and former Vice President of Technology at John Deere. The discussion centers on how technology — including artificial intelligence, robotics, and automation — is fundamentally transforming the modern food system to meet the challenge of feeding a global population expected to reach 10 billion by 2050.

 

This podcast episode of “Dirt to Dinner: Digging In” features Nancy Post, a senior adviser at Boston Consulting Group and former Vice President of Technology at John Deere. Post describes how the agricultural industry is shifting from being “dirt dependent” to “data dependent” through the integration of AI, robotics, and automation to feed an expected global population of 10 billion by 2050.

The Economic and Environmental Value of Tech

Post explains that the primary goal of modern agricultural technology is to maximize outputs while minimizing inputs. This balance is crucial for farmer profitability and environmental stewardship. Key examples of this technology in action include an AI-driven system using 36 cameras to target only the weeds to dramatically reduce herbicide use and fuel consumption, planting technology that applies the precise amount of fertilizer needed, and a self-steering guided system to reduce overlap in the fields and decrease operator fatigue.

The conversation also highlights a shift in farming from being purely dirt-dependent to being data-dependent. Post notes that every pass through a field makes the entire system smarter, as sensors collect data that can be used to optimize the next pass or the following year’s planting. This continuous learning allows farmers to skip unproductive sections of a field entirely, saving seed and spray.

Socio-Economic Impacts

The transformation affects more than just crop yields:

  • Labor and Usability: Technology helps address labor shortages by making complex machinery easier to operate for less tech-savvy workers through simplified, multi-language interfaces
  • Consumer Food Costs: While Post is hesitant to predict price drops, she suggests that reducing production costs through technology creates the opportunity to maintain or lower food prices for consumers
  • Quality of Life: High-tech tools allow owners to manage multi-million dollar operations remotely via smartphones, enabling them to be present for family milestones without neglecting farm management
  • Equipment Value: Technology has become so vital that it now dictates resale value; farmers are increasingly reluctant to buy used equipment that lacks self-steering or advanced sensors

The Future of Farming

Looking ahead, Post identifies real-time insights as the next “big thing”. This involves using data to change operations in the moment—such as a harvester automatically adjusting its settings based on slope or crop density—rather than waiting until the next season to apply lessons learned. Improved logistics and constant communication in rural areas will also be critical to further reducing waste in the production and delivery chain.