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SUMMARY:Terahertz imaging for the detection of cimiciato-infected hazelnut
 s
DTSTART;VALUE=DATE-TIME:20240219T162000Z
DTEND;VALUE=DATE-TIME:20240219T164000Z
DTSTAMP;VALUE=DATE-TIME:20261018T010824Z
UID:indico-contribution-1162@cern.ch
DESCRIPTION:Speakers: Fulvia Gennari (University of Pisa\, Department of P
 hysics)\nIn recent years\, hazelnut cultivation is becoming increasingly i
 mportant in terms of areas invested and crops\nexpected. Among the various
  quality defects\, one of the most detrimental alterations to hazelnut qua
 lity is “cimiciato”\ndefect\, which is caused by a group of insects be
 longing to the families of Coreidae and Pentatomidae. Nowadays no\nreliabl
 e automatic method to discriminate between healthy and cimiciato hazelnuts
  exists and the food industry still\nrelies on manual visual inspection of
  shelled nuts.\n\nThe aim of this work was to validate a continuous-wave t
 erahertz transmission imaging system to\ndiscriminate cimiciato-infected h
 azelnuts by a non-invasive method that can\, potentially\, be implemented 
 in a realtime approach. Carrying low-energy photons\, THz radiation is una
 ble to induce ionization processes\, which means\nthat it is a perfectly s
 afe radiation for biological tissues.\n\nThe trial was conducted on a samp
 le of 150 hazelnuts. We set up a classification model and to assess its\np
 erformance we used a validation sample of 50 hazelnuts. We plotted the dis
 tributions of the healthy and injured\nsamples and fitted the two curves w
 ith a polynomial function. The data from each unknown nut was added as a n
 ew\ndata point to each of the two distributions\, and the minimum distance
  between this new point and the fitting function\nwas calculated. The new 
 data point was\, then\, assigned to the distribution with the lowe r dista
 nce and the\ncorrect/incorrect attribution was evaluated by visual inspect
 ion of the nuts. The procedure was able to correctly\nidentify 100% of cim
 iciato hazelnuts in the mixed population with still a 25% false negative r
 ate.\n\nThe developed method is simple\, requires a low-cost apparatus and
  can potentially be implemented in real time\,\ntherefore\, it can be of g
 reat interest for the food industry\n\nhttps://indico.unina.it/event/75/co
 ntributions/1162/
LOCATION:Federico II Conference Center Aula B
URL:https://indico.unina.it/event/75/contributions/1162/
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