Utilization of spectral-spatial characteristics in shortwave infrared hyperspectral images to classify and identify fungi-contaminated peanuts
Tóm tắt
Từ khóa
Tài liệu tham khảo
Bhat, 2010, Mycotoxins in food and feed: present status and future concerns, Comprehensive Reviews in Food Science and Food Safety, 9, 57, 10.1111/j.1541-4337.2009.00094.x
Biehl, 2002, MultiSpec—a tool for multispectral–hyperspectral image data analysis, Computers & Geosciences, 28, 1153, 10.1016/S0098-3004(02)00033-X
2007
Chang, 2003, Vol. 1
2007
Chang, 2011, LIBSVM: A library for support vector machines, ACM Transactions on Intelligent Systems and Technology (TIST), 2, 27
Creppy, 2002, Update of survey, regulation and toxic effects of mycotoxins in Europe, Toxicology Letters, 127, 19, 10.1016/S0378-4274(01)00479-9
Eismann, 2012
Elmasry, 2012, Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: A review, Critical Reviews in Food Science & Nutrition, 52, 999, 10.1080/10408398.2010.543495
Higgs, 2003, The beneficial role of peanuts in the diet-Part 2, Nutrition & Food Science, 33, 56, 10.1108/00346650310466637
IARC. (1972). Some inorganic substances, chlorinated hydrocarbons, aromatic amines, N-nitroso compounds, and natural products. IARC Monographs on the Evaluation of the Carcinogenic Risk of Chemicals to Man, 1.
IARC, 1987
2011
Joint FAO/WHO Expert Committee on Food Additives (JECFA), 1998, Aflatoxins: Safety evaluation of certain food additives and contaminants, 359
Kang, 2015, Intrinsic image decomposition for feature extraction of hyperspectral images, IEEE Transaction on, Geoscience and Remote Sensing, 53, 2241, 10.1109/TGRS.2014.2358615
Kuo, 2004, Nonparametric weighted feature extraction for classification, IEEE Transaction on, Geoscience and Remote Sensing, 42, 1096, 10.1109/TGRS.2004.825578
Landgrebe, 1999, Information extraction principles and methods for multispectral and hyperspectral image data, Information Process Remote Sensing, 82, 3, 10.1142/9789812815705_0001
Lewis, 2005, Aflatoxin contamination of commercial maize products during an outbreak of acute aflatoxicosis in eastern and central Kenya, Environmental Health Perspectives, 113, 1763, 10.1289/ehp.7998
Li, 2012, Spectral–spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields, IEEE Transactions on, Geoscience and Remote Sensing, 50, 809, 10.1109/TGRS.2011.2162649
McKean, 2006, Comparative acute and combinative toxicity of aflatoxin B 1 and fumonisin B 1 in animals and human cells, Food and Chemical Toxicology, 44, 868, 10.1016/j.fct.2005.11.011
Melgani, 2004, Classification of hyperspectral remote sensing images with support vector machines, IEEE Transactions on, Geoscience and Remote Sensing, 42, 1778, 10.1109/TGRS.2004.831865
Norsk Elektro Optikk (2016). <http://www.hyspex.no/products/disc/swir-320m-e.php>.
Richards, J. A. (2013). Remote sensing digital image analysis. An introduction fifth edition. Heildelberg
Robles-Kelly, 2012
Smith, 2004, Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks, Remote Sensing of Environment, 92, 207, 10.1016/j.rse.2004.06.002
Spensley, 1963, Aflatoxin, the active principle in turkey ’x’ disease, Endeavour, 22, 75, 10.1016/0160-9327(63)90097-8
2010
USDA (2016). <http://apps.fas.usda.gov/psdonline/psdreport.aspx?hidReportRetrievalName=BVS&hidReportRetrievalID=918&hidReportRetrievalTemplateID=1>.
Wang, 2014, Identification of aflatoxin B1 on maize kernel surfaces using hyperspectral imaging, Food Control, 42, 78, 10.1016/j.foodcont.2014.01.038
Williams, 2009, Maize kernel hardness classification by near infrared (nir) hyperspectral imaging and multivariate data analysis, Analytica Chimica Acta, 653, 121, 10.1016/j.aca.2009.09.005
Wu, 2013, Global risk assessment of aflatoxins in maize and peanuts: Are regulatory standards adequately protective?, Toxicological Sciences, 135, 251, 10.1093/toxsci/kft132
Wu, 2013, Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review—part II: Applications, Innovative Food Science & Emerging Technologies, 19, 15, 10.1016/j.ifset.2013.04.016
Wu, 2013, Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review—Part I: Fundamentals, Innovative Food Science & Emerging Technologies, 19, 1, 10.1016/j.ifset.2013.04.014
Yao, G. (2004). Peanut production and utilization in the People’s Republic of China. Peanut in Local and Global Food Systems Series Report, 4.
Yao, 2013, Detecting maize inoculated with toxigenic and atoxigenic fungal strains with fluorescence hyperspectral imagery, Biosystems Engineering, 115, 125, 10.1016/j.biosystemseng.2013.03.006