Whether or not strawberries, asparagus or apples: in the case of harvesting, expert employees are sometimes briefly provide. Many researchers are subsequently engaged on harvesting robots that might present welcome assist to agricultural companies sooner or later.
“There are already a number of prototypes, however none of them are actually good but,” says robotics professor Andreas Nüchter from Julius-Maximilians-Universität (JMU) Würzburg.
To additional enhance the sensor know-how of discipline robots, Nüchter’s group has developed a novel 3D laser scanner system for the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam. It goals to offer a greater understanding of the situation of vegetation, for instance, by reliably measuring the water content material of fruits—a criterion that’s essential for figuring out the correct time to reap.
A group led by ATB researcher Dr. Manuela Zude-Sasse has put in the system on a take a look at website in Potsdam, and preliminary exams have been profitable. The 3D laser scanner is mounted on a sensor conveyor station that circles round a plantation of 120 espalier apple timber.
The primary exams have proven that “we will measure and map the vegetation in a significant manner,” says Professor Nüchter. That is essential to be used on harvesting robots as a result of they have to be capable to “learn” apple timber and different vegetation appropriately—in spite of everything, no two vegetation look precisely alike.
“For the manufacturing of horticultural merchandise, data of the stage of ripeness is essential so as to have the ability to optimally management cultivation, harvest time and storage,” explains Dr. Zude-Sasse. “In opposition to the backdrop of more and more variable development components as a consequence of world warming, exact knowledge on fruit improvement is turning into more and more essential—for scientific modeling in addition to for the long run use of economic harvesting robots.”

Vegetation are measured utilizing three wavelengths
The brand new sensor system shall be used repeatedly on the ATB take a look at website till November 2025 to observe the 120 apple timber. The plant scanner is designed to be sturdy: it could actually stand up to wind and climate and is designed for working temperatures between 0 and 40°C.
The sensor system works on the precept of structured gentle: It tasks three wavelengths (520 nanometers, inexperienced / 660 nanometers, crimson / 830 nanometers, close to infrared) onto the vegetation. The mirrored alerts present exact spatial details about the vegetation. As a result of the alerts can be found individually for every wavelength, they open up new prospects for recording physiological properties of the vegetation, reminiscent of water content material.
The 3D laser scanner was designed solely for experimental use. It makes use of laser gentle at an depth that may injury the human eye if checked out instantly. Because of this, particular care should be taken when working the system outdoor. The ATB strictly controls entry to the measurement space. This ensures that no untrained individuals are within the neighborhood of the scanner. The lasers pose no hazard to the vegetation themselves.

The undertaking builds on the core competencies of JMU Robotics within the improvement of optical gadgets and on the ATB’s a few years of crop analysis, the place spectral-optical strategies for fruit high quality evaluation have already been developed and complete infrastructures for plant evaluation beneath discipline circumstances have been established. The brand new 3D plant scanner shall be used to additional enhance the info foundation for modeling work and the specs for future harvesting robots.
Nüchter is an excellent cooperation accomplice for the ATB: his group can be creating very related strategies and laser scanners for area functions. “Missions to the moon or Mars at all times contain looking for water. For my part, laser scanners are significantly effectively fitted to this,” says the professor.
Julius Maximilian College of Würzburg
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3D laser scanner improves sensing capabilities of harvesting robots (2025, July 23)
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