GEODNET

Every autonomous machine has to answer 3 questions before it can do anything: Where am I? What’s around me? Where am I going? Cameras, lidar, radar and software handle a lot of 2 and 3. Question 1 is a different kind of problem. It starts with satellites, and standard GNSS is only accurate to a few meters. A few meters is: 🚁 a drone that isn’t where it thinks it is, mid-flight 🌱 a mower on the wrong side of the lawn edge 🚗 a car in the wrong lane (a highway lane is about 3.7 m wide) RTK brings it down to centimeter-level, using corrections from a nearby base station. GEODNET provides those through 22K+ stations across 177 countries, the world’s largest RTK network. Which of the three do you think is hardest for machines to get right? 👇

TokenRun’s latest version is live now on @solanamobile Seeker, with the @Android update coming tonight! Meet Work for AI. 👇

Muleshoe, Texas has a 22-foot mule shoe the town bills as the world’s largest. 🐴 It also has a GEODNET base station, one more addition to the world’s largest RTK network: 22K+ stations across 177 countries. Out on the High Plains, about 3,800 ft up on the Llano Estacado, it helps tractors, drones and survey crews know their position down to the centimeter. Where do you need RTK coverage? We’re listening.

Only ~11% of small farms use precision technology. From Gary Lawson at Dakotafest: ~80% of farms are small farms, and the gap he points to is education and expense. Yesterday: 5 machines that rely on centimeter-level positioning. Today: the first one, in the field. Full roundtable in the replies. What's holding more small farms back?

Precision ag, in the simplest terms: cut waste and improve yields. 🌾 That's how Gary Lawson, GEODNET's Head of Business Development, put it at a Dakotafest roundtable in South Dakota. RTK brings positioning down to centimeters, so every pass over the field counts, whether you're spraying, seeding or grazing. The full Part 1 is on YouTube 👇 What's the biggest barrier to precision ag on your farm?

Survey gear has to survive more than a spec sheet. 🌧️ Rain. Mud. Dust. Dropped on the tailgate. Frozen mornings, hot afternoons. GEO-MEASURE is built for it: ☔ IP67: rain, mud, dust 📉 Rated for 2 m drops 🌡️ -30°C to +65°C (-22°F to 149°F) Swipe through 👇 What's the toughest condition you've surveyed in?

5 machines that rely on centimeter-level positioning, and why a few meters wouldn't cut it: 1. Tractors Steering straight, evenly spaced rows, pass after pass. A few meters of drift means overlap, gaps and wasted passes. 2. Robot mowers Some use RTK to follow a virtual boundary instead of a wire, so they stay inside the lawn edge and cover it evenly. 3. Survey crews Staking out points on a site and recording exactly where things are, so the plan and the ground match. 4. Mapping drones Tagging each image with a precise position, so the finished map lines up instead of drifting. 5. Construction machines Grading and digging to the design, not to a guess. Different jobs, same need: knowing exactly where the machine is. Where have you seen centimeter-level positioning at work? 👇

Do you even need to own the robot? 🤖 The pancake machine lives in a food factory. The agricultural robot lives on the farm. Connect specialized machines like that in a network, and the debate shifts: not one humanoid versus 30 machines in your garage, but one humanoid versus an entire specialized robotic economy. Which side are you on?