Classification of Fungal-Damaged Soybean Seeds Using Near-Infrared Spectroscopy

References

• Doupnik , B.J.R. 1993 . Soybean production and disease loss estimates for north central United States from 1989 to 1991 . Plant Dis. , 77 : 1170 – 1171 . [CSA]
   Web of Science ®Google Scholar
• Sinclair , J.B. and Backman , P.A. 1989 . Compendium of Soybean Diseases, , 3rd Ed. pp. 38. St. Paul, , USA : American Phytopathological Society .
   Google Scholar
• Wilson , R.F. 1995 . Dealing with the problems of fungal damage in soybean and other oilseeds . JAOCS , 72 : 1413 – 1414 . [CSA]
   Web of Science ®Google Scholar
• Sinclair , J.B. 1992 . Discoloration of soybean seeds—an indicator of quality . Plant Dis. , 76 : 1087 – 1091 .
   Web of Science ®Google Scholar
• Mbuvi , S.W. , Litchfield , J.B. and Sinclair , J.B. 1989 . Physical properties of soybean seeds damaged by fungi . T. ASAE , 32 : 2093 – 2096 .
   Google Scholar
• List , G.R. 1980 . Handbook of Soybean Oil Processing and Utilization Champaign, , USA : American Oil Chemists Society .
   Google Scholar
• Pathan , M.P. , Sinclair , J.B. and McClary , R.D. 1989 . Effect of Cerocospora kikuchii on soybean seed germination and quality . Plant Dis. , 73 : 720 – 723 . [CSA]
   Web of Science ®Google Scholar
• Wilson , R.F. , Novitzky , W.P and Fenner , G.P. 1995 . Effect of fungal damage on seed composition and quality of soybeans . JAOCS , 72 : 1425 – 1429 . [CSA]
   Web of Science ®Google Scholar
• Sinclair , J.B. 1995 . Reevaluation of grading standards and discounts for fungus-damaged soybean seeds . JAOCS , 72 : 1415 – 1419 . [CSA]
   Web of Science ®Google Scholar
• USDA. 1994 . Grain Inspection Handbook; subpart J—U.S. standards for soybean Washington, D.C., , USA : U.S. Department of Agriculture .
   Google Scholar
• Casady , W.W. , Paulsen , M.R. , Reid , J.F. and Sinclair , J.B. 1992 . A trainable algorithm for inspection of soybean seed quality . T. ASAE , 35 : 2027 – 2033 . [CSA]
   Google Scholar
• Ahmad , I.S. , Reid , J.F. and Paulsen , M.R. 1999 . Color classifier for symptomatic soybean seeds using image processing . Plant Dis. , 83 : 320 – 327 . [CSA]
   PubMed Web of Science ®Google Scholar
• Wang , D. , Ram , M.S. and Dowell , F.E. 2002 . Classification of damaged soybean seeds using near-infrared spectroscopy . T. ASAE , 45 : 1943 – 1948 .
   Google Scholar
• Shenk , J.S. , Workman , J.J. and Westerhaus , M.O. 2001 . “ Application of NIR spectroscopy to agricultural products ” . In InHandbook of Near-Infrared Analysis Edited by: Burnes , D.A. and Ciurczak , E.W. 419 – 474 . New York : Marcel Dekker Inc. .
   Google Scholar
• Barton , F.E. II; and Burdick , D. 1979 . Preliminary study on the analysis of forages with a filter-type near-infrared reflectance spectrometer . J. Agric. Food Chem. , 27 : 1248 – 1252 .
   Web of Science ®Google Scholar
• Paulsen , M.R. 1990 . Using machine vision to inspect oilseeds . INFORM , 1 : 50 – 55 .
   Google Scholar
• Sinclair , J.B. 1993 . Phomopsis seed decay of soybeans—a prototype for studying seed disease . Plant Dis. , 77 : 329 – 334 .
   Web of Science ®Google Scholar
• Velicheti , P.K. , Kollipara , K.P. , Sinclair , J.B. and Hymowitz , T. 1992 . Selective degradation of protein by Cerocospora kikuchii and Phomopsis longicolla. . Plant Dis. , 76 : 779
   Web of Science ®Google Scholar
• Bochereau , L. , Bourgine , P. and Palagos , B. 1992 . A method for prediction by combining data analysis and neural networks: application to prediction of apple quality using near-infrared spectra . J. Agric. Engng. Res. , 51 : 207 – 216 .
   Web of Science ®Google Scholar
• Dowell , F.E. 1994 . Neural network parameter effects on object classification and wavelength selection . Optical Engng. , 33 : 2728 – 2732 .
   Web of Science ®Google Scholar
• Wang , D. , Dowell , F.E. and Lacey , R.E. 1999 . Single wheat kernel color classification using neural networks . T. ASAE , 42 : 233 – 240 .
   Google Scholar