Exploring the "What If" of Wearable AI in Agriculture

The Physical Reality of Stewardship

In the world of livestock production, we have always been bound by the physical. We move animals to scales to check their weight, we go through the manual labor of pregnancy checks, and we physically count every animal – often twice. We watch for behavior to detect heat, and we look for drooping ears, a runny nose, or labored breathing to identify sickness. These methods have served us for generations, but they are limited by the speed of human observation and the stress of physical handling.

The announcement of Meta’s AI Glasses Impact Grants is certainly not a mandate for how the future should look, but it is an invitation to imagine what would be possible if our tools were as dynamic as the lands we manage. While many view smart glasses through the lens of social media or gaming, the agricultural application represents a fascinating intersection of biology and data.

I am a firm believer in the traditional ways. There is a deep, irreplaceable value in the intuition of a stockman and the practice of truly listening to the land – and to the animals. Technology should never be a replacement for the natural and physical worlds, but rather a way to see them more clearly.

Detecting the Early Signals

There is something undeniably compelling about the idea that a pair of glasses can “see” what the human eye misses. Take pneumonia, for example. In a feedlot or a backgrounding operation, identifying a respiratory infection often happens only after the animal is visibly distressed. Imagine the utility of an AI-powered thermal overlay that flags the onset of pneumonia before the first cough even occurs, allowing for targeted treatment and better outcomes.

The same applies to the complex biology of reproduction. While pregnancy verification will likely always remain a somewhat of a “hands-on” procedure, the process of heat detection is where wearable technology could offer a transformative benefit. By potentially integrating sensors to detect volatile chemical compounds – pheromones released days before standing heat – producers could move away from lagging indicators and toward real-time physiological data. It is less about replacing the stockman’s eye and more about augmenting it with signals that are currently invisible.

Operations with Fewer Hurdles

Beyond health, the logistical possibilities of this technology are where it truly begins to feel like a new frontier. One of the most significant stressors for both cattle and handlers is the scale. Moving animals through chutes is time-consuming, increases overhead and animal stress, and can often result in human injury. There is a practical brilliance in the idea of calculating the weight of a steer simply by looking at it through a pair of glasses.

Using 3D point-cloud mapping to estimate weight and body condition score in the pasture allows for gain performance tracking without the labor-intensive process of physical weighing. I am aware that stationary systems like Vytelle (formerly GrowSafe) have set a high bar for this kind of data in controlled settings, but bringing that capability to a pair of glasses would provide that same precision in any pasture, at any time, without any infrastructure.

This extends to the daily logistics of moving cattle. Traditionally, gate counting relies on tally books or the tactile habit of counting knots on romal reins. But in often chaotic sorting situations, the ability for a wearable to automatically inventory a herd as they pass through a gate with near-perfect accuracy would be a significant asset. It essentially provides a second, more reliable head count, removing the need for that final manual entry and letting the producer stay entirely focused on the movement of the herd.

Managing the Whole Ecosystem

This utility extends to the land itself. We spend a great deal of time estimating forage production to make grazing decisions. A wearable system that can calculate biomass and forage availability as you ride through a pasture would take the guesswork out of rotational grazing. It transforms a routine walk through the pasture into an immersive data-gathering session for better land stewardship. By identifying plant species with precision and calculating growth stages and productivity trends over a long-term timeline, we could transition from broad visual estimates to a granular, data-backed understanding of our soil health and plant biodiversity.

The potential even reaches into the timber. For producers managing diversified land, the glasses could serve as a sentinel for forest health. Spotting sick trees or identifying early signs of beetle infestation across a large tract of timber is a daunting task for a human alone. AI-assisted vision could flag those anomalies in real-time, allowing for precision management of the entire ecological system.

Whether it is automated gate counting, instant identification for sorting specific animals, or calculating the volume of a timber stand, these tools are about expanding our capability. We must never lose sight of the physical reality of ranching, but it is fun to dream about how these tools might help us become better observers, managers, and stewards of the land.

If you’re interested in learning more, you can apply for the grant here:

Meta AI Wearables Impact Grants