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Volumn 65, Issue , 2016, Pages 30-39

Detection of fungal infection and Ochratoxin A contamination in stored wheat using near-infrared hyperspectral imaging

Author keywords

Aspergillus glaucus; Discriminant analysis; Near infrared (NIR) hyperspectral imaging; Penicillium verrucosum; Principal component analysis; Storage mold

Indexed keywords


EID: 84949232300     PISSN: 0022474X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspr.2015.11.004     Document Type: Article
Times cited : (32)

References (28)
  • 3
    • 0026619924 scopus 로고
    • Renal lesions induced by Ochratoxin A exposure in the F344 rat
    • Boorman G.A., McDonald M.R., Imoto S., Persing R. Renal lesions induced by Ochratoxin A exposure in the F344 rat. Toxicol. Pathol. 1992, 20:236-245.
    • (1992) Toxicol. Pathol. , vol.20 , pp. 236-245
    • Boorman, G.A.1    McDonald, M.R.2    Imoto, S.3    Persing, R.4
  • 5
    • 33846240358 scopus 로고    scopus 로고
    • Growth of Penicillium verrucosum and production of Ochratoxin A on nonsterilized wheat grain incubated at different temperatures and water activity
    • Czaban J., Wroblewska B., Stochmal A., Janda B. Growth of Penicillium verrucosum and production of Ochratoxin A on nonsterilized wheat grain incubated at different temperatures and water activity. Pol. J. Microbiol. 2006, 55:321-331.
    • (2006) Pol. J. Microbiol. , vol.55 , pp. 321-331
    • Czaban, J.1    Wroblewska, B.2    Stochmal, A.3    Janda, B.4
  • 6
    • 0030449009 scopus 로고    scopus 로고
    • Classification of wheat by visible and near infrared reflectance from single kernels
    • Delwiche S.R., Massie D.R. Classification of wheat by visible and near infrared reflectance from single kernels. Cereal Chem. 1996, 73(3):399-405.
    • (1996) Cereal Chem. , vol.73 , Issue.3 , pp. 399-405
    • Delwiche, S.R.1    Massie, D.R.2
  • 7
    • 84949305838 scopus 로고    scopus 로고
    • FAOSTAT, 2013. Available at: . http://faostat3.fao.org/download/Q/QC/E.
    • (2013)
  • 9
    • 84921987578 scopus 로고    scopus 로고
    • Hyperspectral imaging to classify and monitor quality of agricultural materials
    • Mahesh S., Jayas D.S., Paliwal J., White N.D.G. Hyperspectral imaging to classify and monitor quality of agricultural materials. J. Stored Prod. Res. 2015, 61:17-26.
    • (2015) J. Stored Prod. Res. , vol.61 , pp. 17-26
    • Mahesh, S.1    Jayas, D.S.2    Paliwal, J.3    White, N.D.G.4
  • 14
    • 84911441417 scopus 로고    scopus 로고
    • Detection of fungal infection in wheat using near-infrared hyperspectral imaging
    • Senthilkumar T., Singh C.B., Jayas D.S., White N.D.G. Detection of fungal infection in wheat using near-infrared hyperspectral imaging. J. Agric. Eng. 2012, 49(1):21-27.
    • (2012) J. Agric. Eng. , vol.49 , Issue.1 , pp. 21-27
    • Senthilkumar, T.1    Singh, C.B.2    Jayas, D.S.3    White, N.D.G.4
  • 15
    • 84938068381 scopus 로고    scopus 로고
    • Detection of different periods of fungal infection in stored wheat using near-infrared hyperspectral imaging
    • Senthilkumar T., Jayas D.S., White N.D.G. Detection of different periods of fungal infection in stored wheat using near-infrared hyperspectral imaging. J. Stored Prod. Res. 2015, 63:80-88.
    • (2015) J. Stored Prod. Res. , vol.63 , pp. 80-88
    • Senthilkumar, T.1    Jayas, D.S.2    White, N.D.G.3
  • 16
    • 38549115629 scopus 로고    scopus 로고
    • Fungal detection in wheat using near- infrared hyperspectral imaging
    • Singh C.B., Jayas D.S., Paliwal J., White N.D.G. Fungal detection in wheat using near- infrared hyperspectral imaging. Trans. ASAE 2007, 50:2171-2176.
    • (2007) Trans. ASAE , vol.50 , pp. 2171-2176
    • Singh, C.B.1    Jayas, D.S.2    Paliwal, J.3    White, N.D.G.4
  • 17
    • 79959366692 scopus 로고
    • Control of humidity with potassium hydroxide, sulphuric acid, or other solutions
    • Solomon M.E. Control of humidity with potassium hydroxide, sulphuric acid, or other solutions. Bull. Entomol. Res. 1951, 42:543-554.
    • (1951) Bull. Entomol. Res. , vol.42 , pp. 543-554
    • Solomon, M.E.1
  • 19
    • 84879295844 scopus 로고    scopus 로고
    • Potential of machine vision techniques for detecting fecal and microbial contamination of food products: a review
    • Teena M., Manickavasagan A., Mothershaw A., El Hadi S., Jayas D.S. Potential of machine vision techniques for detecting fecal and microbial contamination of food products: a review. Food Bioprocess Technol. 2013, 6(7):1621-1634.
    • (2013) Food Bioprocess Technol. , vol.6 , Issue.7 , pp. 1621-1634
    • Teena, M.1    Manickavasagan, A.2    Mothershaw, A.3    El Hadi, S.4    Jayas, D.S.5
  • 20
  • 22
    • 0006005863 scopus 로고
    • Fungi associated with hot spots in farm stored grain
    • Wallace H.A.H., Sinha R.N. Fungi associated with hot spots in farm stored grain. Can. J. Plant Sci. 1962, 42:130-141.
    • (1962) Can. J. Plant Sci. , vol.42 , pp. 130-141
    • Wallace, H.A.H.1    Sinha, R.N.2
  • 23
    • 0033029631 scopus 로고    scopus 로고
    • Single wheat kernel colour classification using neural networks
    • Wang D., Dowell F.E., Lacey R.E. Single wheat kernel colour classification using neural networks. Trans. ASAE 1999, 42:233-240.
    • (1999) Trans. ASAE , vol.42 , pp. 233-240
    • Wang, D.1    Dowell, F.E.2    Lacey, R.E.3
  • 24
    • 2342650691 scopus 로고    scopus 로고
    • Classification of fungal damaged soybean seeds using near infrared spectroscopy
    • Wang D., Dowell F.E., Ram M.S., Schapaugh W.T. Classification of fungal damaged soybean seeds using near infrared spectroscopy. Int. J. Food Prop. 2003, 7:75-82.
    • (2003) Int. J. Food Prop. , vol.7 , pp. 75-82
    • Wang, D.1    Dowell, F.E.2    Ram, M.S.3    Schapaugh, W.T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.