To optimize the correct number of trees for harvest, CMPC now collects forestry data using smartphones and drones.
The data is analyzed by Katam’s cloud-based AI algorithms and delivered as detailed reports and high-resolution maps to CMPC.
CMPC uses this processed data to plan, execute and follow up on their forestry operations. Since almost all profit from a Chilean pine forest stand is made at the final harvest, it is crucial that all operations during the lifecycle of the stand focus on achieving the correct number of trees.
With Katam, machine operators can now plan access roads with higher precision and get detailed information about how many trees to remove in any given position anywhere in a stand. After thinning, the machine operator can report exactly where trees have been felled, which leads to increased productivity and quality.