Sensors and cameras analyse vine quality

22-Aug-2018 - Germany

With the help of electronic sensors and cameras, winegrowers will be able to obtain information on the maturity, quality, yield prospects and disease risks of their vines at an early stage. At the Julius Kühn Institute for Vine Breeding at Geilweilerhof in Siebeldingen (district Southern wine Road), agricultural biologist Anna Kicherer is testing the "phenoliner": here, the devices of a grape harvester were replaced by optical devices and a geo-information system.

Photo by Tim Mossholder on Unsplash

"We see the "phenoliner" as a test platform with the long-term vision that winegrowers can also use it," explained Kicherer during a trip through the institute's vineyard. The assessment of grapes as small, large or medium can become much more objective with this image-supported technique.

In vine breeding, such information is of decisive importance in order to be able to assess the peculiarities of new varieties.
"When it comes to the development of genetic markers, phenotype and genotype must be brought together," said Kicherer, referring the external appearance to the respective genetic composition.

The "phenoliner" is just one of several examples of possible increases in efficiency through digital technologies in viticulture, says Ernst Büscher from the German Wine Institute: "Even today, only healthy grapes can be sorted out with optical systems after harvesting. In the near future, plant protection will also be possible on steep slopes with drones./pz/DP/zb (dpa) 

Other news from the department business & finance

These products might interest you

VEGABAR /VEGAPULS / VEGAPOINT

VEGABAR /VEGAPULS / VEGAPOINT by VEGA Grieshaber

Level and pressure sensors - CIP-cleanable up to 150 °C

Find out more about the hygienic, reliable and efficient sensors from VEGA

sensors
BUCHI NIR Solutions for the food industry

BUCHI NIR Solutions for the food industry by NIR-Online

Monitor processes in real time - even under harsh conditions

Measure moisture, protein, oil, ash, etc. simultaneously

NIR sensors
Loading...

More news from our other portals

Topic world AI for food and beverages