HBLFA Raumberg-Gumpenstein

Autonomous vegetation monitoring with drones

HBLFA Raumberg-Gumpenstein

Autonomous vegetation monitoring with drones

Project goal: To obtain information on vitality, fertilization status, biomass, feed quality as well as the effects of stressful situations such as drought or disease pressure.

Since the beginning of this year's vegetation period, grassland stands at the HBLFA Raumberg-Gumpenstein plant cultivation experimental field have been regularly observed using an autonomously flying drone and a multispectral sensor.

The team in the grassland management department has set itself the goal of automating this process as much as possible while simultaneously achieving high-quality data and efficient observation. To this end, flight routes for each trial are predefined using a computer planning tool and then directly transferred to the drone. A GPS ground station with centimeter-level accuracy is used to improve drone control and image positional accuracy.

The drone then takes off in autonomous flight mode without pilot intervention, flies to the predefined waypoints at a defined altitude, and takes several hundred pictures along the way. Afterwards, the drone lands autonomously.

Back in the office, the individual multispectral images are combined into a single image using image processing software. This allows for a high-resolution mapping of an entire experimental area, revealing information on vitality, fertilization status, biomass, forage quality, and the effects of stressors such as drought or disease pressure.

Team

Klingler Andreas, DI

DI Andreas Klingler

Grassland research
Schaumberger Andreas, Dr.

Mag. MSc. Andreas Schaumberger

Head of Institute for Plant Production and Cultural Landscape Research
Adelwöhrer Manuel

Manuel Adelwöhrer

Agricultural and Environmental Informatics

Research documentation

 

Yield and quality dynamics of different grassland management systems

Klingler Andreas (2021 - 2026)
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