A working system for inventory of forest seedlings, adult forests and multi damage identification with the help of aerial imagery, photogrammetry, neural networks, machine learning and self organizing systems.
Digitalization of the forest industry has the potential to lead to
more efficient asset management with both environmental and financial benefits
An automated and objective analysis gives
us advantages in qualitative and quantitative
decision-making
The forest industry today handle very large
assets and values based on a conservative approach
with subjective and insufficient data
Digital images and data collected about
valuable forest areas can be reused for many
different types of analyzes in additional contexts
The analysis engine can be integrated
directly with own systems via API
A forest management plan specifies the objectives that a landowner has for his or her land, followed by
a series of actions that should be taken in order to for those objectives to be met.
In addition, these plans also contain information about factors such as acreage, boundaries,
forest stands, wood species, and biological inventory.
UAV technology and AI based Image analysis can be very useful tools in the production of these plans.
The forest planner saves a lot of time and the quality of the plans can be substantially increased.
SCA"Such extensive and detailed data that it has potential to change our future way of working."
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