Apple quality assessment by fusion three sensors

Proceedings of IEEE Sensors

Volumn 2005, Issue , 2005, Pages 389-392

  Zou, Xiaobo ^a   Zhao, Jiewen ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Apple; Electronic nose; Machine vision; NIR spectrophotometer; Quality evaluation

Indexed keywords

DECISION TABLES; ELECTRONIC EQUIPMENT; INFRARED SPECTROMETERS; QUALITY CONTROL; SENSOR DATA FUSION; SUGAR (SUCROSE);

ELECTRONIC NOSE SYSTEMS; NIR SPECTROPHOTOMETER; QUALITY EVALUATION;

BIOSENSORS;

EID: 33847245453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSENS.2005.1597717     Document Type: Conference Paper

References (4)

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2. Stijn S., Jeroen L, Amalia Z. B,. Electronic nose as a non-destructive tool to evaluate the optimal harvest date of apples. Postharvest Biology and Technology. 2003, 30, 3-14
3. Leemansa V., Mageinb, Destain M.-F. On-line fruit grading Ventura M., Anton D. J., Herman D. P.. Non-destructive determination of soluble solids in apple fruit by near infrared spectroscopy (NIRS). Postharvest Biology and Technology. 199814, 21-27
4. Feng B., 2002. Study on the method of computer vision information processing and fruit gradation and detection technology. [Doctor Dissertation], China Agricultural University, Beijing, China (in Chinese). May, 2002, pp:84-93