Smart Farming: Mixed Reality and AI

Vitaly Kuprenko
Apr 4 · 4 min read
Illustration: © IoT For All

What Is Mixed Reality?

The new term “mixed reality” (or “hybrid reality”) is becoming more popular these days. It refers to the layering on of digital or simulated information onto the real world: a mixing of “real” reality and “virtual” reality, leading to one “mixed” or “hybrid” reality.

Image Credit: bridge.occipital

Why Is MR Useful for Smart Farming?

3D-mapping technology allows us to transform fields into virtual environments. Farmers can thereby create different scenarios of crop cultivation, aid remote equipment monitoring or control, and more. We’re only just beginning to explore the potential layering digital information onto our physical worlds. Imagine you’re a farmer, and let your imagination explore the potential use cases.

Machine Learning in Agriculture

Machine learning (ML) is a subset of Artificial Intelligence (AI). It’s a technique derived from computational statistics by which, in a classical case, you feed massive amounts of data into statistical models in order to “train” them to recognize patterns in future data.

MR and AI Use Cases in Smart Farming

Mixed Reality: As we’ve discussed, applications in agriculture provide farmers an opportunity to observe crop conditions using MR-enabled “helmets” or “goggles.” All camera feed data would either be edge-processed or sent to the cloud to for full-scale ML analysis.

Image Credit: huxley
Image Credit: John Deere

IoT For All

Expert analysis, simple explanations, and the latest advances in IoT, AR/VR/MR, AI & ML and beyond! To publish with us please email: contribute@iotforall.com

Vitaly Kuprenko

Written by

Technical writer at Cleveroad. It’s a web and app development company in Ukraine. He enjoys telling about tech innovations and digital ways.

IoT For All

Expert analysis, simple explanations, and the latest advances in IoT, AR/VR/MR, AI & ML and beyond! To publish with us please email: contribute@iotforall.com