🍒 Laser scanning shows where you can find the most lingonberries and blueberries in the forest

🍒 Laser scanning shows where you can find the most lingonberries and blueberries in the forest

A new calculation model can predict how many berries there are in different parts of the forest.

Kent Olofsson
Kent Olofsson

Share this story!

Knowing which spots have the most lingonberries and blueberries is both important for those who pick berries for their own household and for those who pick for sale. However, most people who pick berries know how difficult it can be to find the best berry spots. But a new technology developed by researchers from, among others, the Swedish University of Agricultural Sciences, SLU, can make it easier.

The researchers have used information from laser scanners on aircraft and surveys on the ground to create a model that shows how many berries are in the area. The model is based on comparisons between inventories of actual berry occurrence and different measures of forest properties that can be produced by remote sensing.

"We have used the National Forest Assessment's blueberry and lingonberry data from all over Sweden and combined these with various remote analysis-based data - such as airborne laser data, tree species information from SLU Skogkarta, national ground cover data and climate data - to create models for berry access", says SLU researcher Inka Bohlin , in a press release.

The idea is that the model will give us current maps that show where the largest quantities of berries are right now. In addition, forest owners who want to know how to plant their forests to stimulate berry harvests can use this model for guidance. It turns out, for example, that blueberries grow best in forests with a crown cover rate of about 50 percent, while lingonberry supply is best in sparser forests and on fellings with open crown cover.

The researchers now want to move on to further refine the model.

"Modeling berry supply is very complicated because many things affect berry production, such as the properties of the forest and the soil, weather, pollination, damage, previous forestry and so on. We can not yet take all these components into account, but it has been shown that it is already possible to use the model to find good carrying places in the forest", says Inka Bohlin.

Read the full study here.

Image: Pixabay / aileino

🍔 Food Tech

You might also like

WALL-Y 1 min read

🌾 AI-driven weed controllers reduce the need for herbicides by 90%

New technology reduces herbicide use by up to 90 percent. AI-controlled cameras identify weeds for precision treatment. Using less herbicide through precision applications can help lower costs for growers.

WALL-Y 2 min read

🍫 Breakthrough: Chocolate without sugar is no longer a bitter dream

Researchers in Switzerland have developed a method to produce chocolate without added sugar. The entire cocoa fruit is used in the process, which reduces food waste. The method can increase income for cocoa farmers and create jobs in countries of origin.

WALL-Y 2 min read

🍔 Food-from-air company Solar Foods advances in NASA's space food competition

NASA's Deep Space Food Challenge aims to find new ways to provide astronauts with nutrition during long space missions. Solar Foods won the international category in the competition. The company is developing a concept to produce the protein Solein in space.