Future of agriculture: 3D laser scanner revolutionizes harvest time!

Future of agriculture: 3D laser scanner revolutionizes harvest time!

Research into innovative technologies to support agriculture is gaining momentum. A team of roboticists from University of Würzburg has developed an advanced 3D laser scanner system that is now being used as part of a project at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam. The main aim of this technological initiative is to carry out precise plant analyzes in the field, especially at harvest time.

A key incentive for this project is the increasing shortage of skilled workers in agriculture. To counteract this, more work is being done to develop harvesting robots. Professor Andreas Nüchter from JMU Würzburg emphasizes that existing prototypes are not yet fully developed and this technological addition represents a promising alternative.

Technological details of the 3D laser scanner

The newly developed 3D laser scanner system has already successfully passed initial tests. It is mounted on a sensor conveyor station that orbits 120 espaliered apple trees. This system makes it possible to precisely record the condition of the plants, such as the water content of fruits. This functionality is crucial for harvesting robots to determine the optimal harvest time.

For those responsible for the project, the installation of the system on the test site in Potsdam, led by Dr. Manuela Zude-Sasse, a significant step forward. The sensor system will be used continuously to monitor apple trees until November 2025. The scanner works at temperatures between 0 and 40 degrees Celsius and works with structured light that projects three different wavelengths (520 nm, 660 nm, 830 nm) onto the plants.

The reflected signals make it possible to obtain precise spatial information, which is of central importance for recording the physiological properties of plants. Safety has the highest priority: The scanner is designed for experimental use and can be harmful if direct eye contact is made. There are therefore strict access controls to the measuring area to keep untrained people away. Plants themselves are not endangered by the laser beams.

Research and collaboration

The project uses the core competencies of robotics at the JMU and crop research at the ATB. The aim is to improve the data basis for modeling work and to define specific requirements for future harvesting robots. Andreas Nüchter also brings experience with laser scanners for space applications to the project, which further consolidates his expertise.

This advanced technology could therefore not only contribute to increasing efficiency in agriculture, but also help solve a pressing problem in the sector.