Identification of apple stem and calyx using unsupervised feature extraction

Transactions of the American Society of Agricultural Engineers

Volumn 47, Issue 3, 2004, Pages 889-894

  Bennedsen, B S ^a   Peterson, D L ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Apple; Calyx; Defects; Image processing; Sorting; Stem

Indexed keywords

ERROR ANALYSIS; EXTRACTION; FRUITS; INFRARED IMAGING; SORTING;

APPLE STEM; CALYX;

NEURAL NETWORKS;

IMAGE PROCESSING;

MALUS X DOMESTICA;

EID: 4243163084     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Anger, W. 2002. Personal communication. Kearneysville, W.V.: USDA-ARS Appalachian Fruit Research Station.
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3. Bennedsen, B. S. 2001. Use of unsupervised feature extraction for sorting fruits and vegetables. In "Fruit, Nut, and Vegetable Production Engineering". In Proc. 6th International Symposium, 357-362. Potsdam, Germany: Institut für Agrartechnik Bornim.
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9. Throop, J. A., D. J. Aneshansley, W. C. Anger, and D. L. Peterson. 2003a. Conveyor design for apple orientation. ASAE Paper No. 036123. St. Joseph, Mich.: ASAE.
10. Throop, J. A., D. J. Aneshansley, W. C. Anger, and D. L. Peterson. 2003b. Quality evaluation of apples based on surface defects: An inspection station design. ASAE Paper No. 036161. St. Joseph, Mich.: ASAE.
11. Wen, Z., and Tao, Y. 2000. Dual-camera NIR/MIR imaging for stem-end/calyx identification in apple defect sorting. Trans. ASAE 43(2): 449-452.