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DTSTAMP:20220324T095807Z
DTSTART;TZID=Europe/Berlin:20220406T133000
DTEND;TZID=Europe/Berlin:20220406T150000
SUMMARY:PhenomicsWebinars: Artificial intelligence enables new ways in se
 ed quality testing - Dr. Marcus Jansen
UID:20220324T095807Z-86538963495@fe80:0:0:0:e0:a0ff:fef4:40a4ens5
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DESCRIPTION:Join from a PC\, Mac\, iPad\, iPhone or Android device:\n    
 Please click this URL to join. https://us06web.zoom.us/j/86538963495\n	D
 escription: Seed assessments at various levels traditionally rely on vis
 ual inspections\, but optical technologies increasingly take over rating
  tasks. While seed counting with computer vision is already established\
 , optical inspections of germination processes\, seedling quality\, or s
 eed purity are gaining importance. The implication of machine learning e
 nables training the image processing algorithms in a way that the dedica
 tedly recognize features that are important for specific ratings. Thereb
 y\, it becomes possible to move automatic imaging-based inspection of se
 eds and seedlings closer to the demand of the rating experts. Beyond app
 lication-specific image processing\, key advantages of such methods are 
 consistent documentation of the samples by storing the original images a
 nd measuring options for all recognized items. These measuring options e
 nable determining the size of each and every detected seed\, seedling\, 
 root\, shoot\, or leaf. They can be measured for a range of parameters\,
  including length\, width\, area\, or information on colors and morpholo
 gy. Many of these data give added value compared to visual scoring. More
 over\, artificial intelligence enables recognizing sample- or user-speci
 fic quality traits in seeds and seedlings. Thereby\, algorithms can be t
 rained to discriminate between normal and non-normal seeds and seedlings
 . All imaging can be combined with automation technology that increases 
 the throughput of samples. Thus\, imaging and image processing is applic
 able at all scales from small labs to large factories.\n\nOr One tap mob
 ile:\n    +13462487799\,\,86538963495# US (Houston)\n    +16465588656\,\
 ,86538963495# US (New York)\n\nOr join by phone:\n    Dial(for higher qu
 ality\, dial a number based on your current location):\n        US: +1 3
 46 248 7799  or +1 646 558 8656  or +1 720 707 2699  or +1 253 215 8782 
  or +1 301 715 8592  or +1 312 626 6799 \n    Webinar ID: 865 3896 3495\
 n    International numbers available: https://us06web.zoom.us/u/kcsolPck
 bM\n\n
LOCATION:https://us06web.zoom.us/j/86538963495
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