Bioacoustic detection of Callosobruchus chinensis and Callosobruchus maculatus in bulk stored chickpea (Cicer arietinum) and green gram (Vigna radiata). (October 2019)
- Record Type:
- Journal Article
- Title:
- Bioacoustic detection of Callosobruchus chinensis and Callosobruchus maculatus in bulk stored chickpea (Cicer arietinum) and green gram (Vigna radiata). (October 2019)
- Main Title:
- Bioacoustic detection of Callosobruchus chinensis and Callosobruchus maculatus in bulk stored chickpea (Cicer arietinum) and green gram (Vigna radiata)
- Authors:
- Banga, Km. Sheetal
Kotwaliwale, Nachiket
Mohapatra, Debabandya
Giri, Saroj Kumar
Babu, V. Bhushana - Abstract:
- Abstract: Insects are one of the major reasons for post-harvest losses in stored food legumes. Real time detection at an early stage of insect infestation can overcome the foremost problem of infestation. Acoustic detection method detects the hidden as well as moving insects by amplifying and filtering their motility and feeding sounds. Crawling and feeding activities of two insects Callosobruchus chinensis and Callosobruchus maculatus in chickpea ( Cicer arietinum ) and green gram ( Vigna radiata) were detected by using an insect detection probe placed in an acoustically insulated bin. Temperature and relative humidity were also measured through sensors mounted on the same probe. Captured sounds were pre-screened and analysed by using sound analysis software. Significant differences were found between the amplitude of two insects in both the legumes. Amplitudes of Callosobruchus chinensis were 79.32 dB and 84.01 dB for 59 ms duration in chickpea and green gram, respectively, whereas, the amplitude of Callosobruchus maculatus was 97.65 dB and 95.53 dB for 68 ms in chickpea and green gram, respectively. The detection range of the acoustic sensor was 300 mm omnidirectional. Formants (F1, F2, F3 and F4), formant bandwidth (FBW3), frequency and spectral power were observed as principal components for the detection of insects' infestation ( C. chinensis and C. maculatus) in bulk stored food legumes (chickpea and green gram). Formants of sound spectra found a specific role in theAbstract: Insects are one of the major reasons for post-harvest losses in stored food legumes. Real time detection at an early stage of insect infestation can overcome the foremost problem of infestation. Acoustic detection method detects the hidden as well as moving insects by amplifying and filtering their motility and feeding sounds. Crawling and feeding activities of two insects Callosobruchus chinensis and Callosobruchus maculatus in chickpea ( Cicer arietinum ) and green gram ( Vigna radiata) were detected by using an insect detection probe placed in an acoustically insulated bin. Temperature and relative humidity were also measured through sensors mounted on the same probe. Captured sounds were pre-screened and analysed by using sound analysis software. Significant differences were found between the amplitude of two insects in both the legumes. Amplitudes of Callosobruchus chinensis were 79.32 dB and 84.01 dB for 59 ms duration in chickpea and green gram, respectively, whereas, the amplitude of Callosobruchus maculatus was 97.65 dB and 95.53 dB for 68 ms in chickpea and green gram, respectively. The detection range of the acoustic sensor was 300 mm omnidirectional. Formants (F1, F2, F3 and F4), formant bandwidth (FBW3), frequency and spectral power were observed as principal components for the detection of insects' infestation ( C. chinensis and C. maculatus) in bulk stored food legumes (chickpea and green gram). Formants of sound spectra found a specific role in the discrimination of insect and background noise. The findings of this study elucidated that acoustic detection method will provide rapid and non-destructive detection of infestation in bulk stored food legumes. Highlights: Biacoustic detection is useful in detection of infestation in stored food legumes. Omnidirectional detection range of acoustic sensors was 300 mm. Spectrogram analysis was important in identification of insects sound. … (more)
- Is Part Of:
- Food control. Volume 104(2019)
- Journal:
- Food control
- Issue:
- Volume 104(2019)
- Issue Display:
- Volume 104, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 104
- Issue:
- 2019
- Issue Sort Value:
- 2019-0104-2019-0000
- Page Start:
- 278
- Page End:
- 287
- Publication Date:
- 2019-10
- Subjects:
- Bioacoustic -- Food legumes -- Sensors -- Acoustic signal processing -- Insect infestation -- Formants
Food -- Quality -- Periodicals
Food -- Analysis -- Periodicals
Food handling -- Periodicals
Food industry and trade -- Quality control -- Periodicals
Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques
Aliments -- Qualité -- Périodiques
Aliments -- Analyse -- Périodiques
Hygiène alimentaire -- Périodiques
Food -- Analysis
Food handling
Food -- Quality
Periodicals
Electronic journals
664.07 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09567135 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodcont.2019.02.026 ↗
- Languages:
- English
- ISSNs:
- 0956-7135
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.291500
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British Library HMNTS - ELD Digital store - Ingest File:
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