Machine vision based quality evaluation of Iyokan orange fruit using neural networks

Computers and Electronics in Agriculture

Volumn 29, Issue 1-2, 2000, Pages 135-147

  Kondo, Naoshi ^a   Ahmad, Usman ^a   Monta, Mitsuji ^a   Murase, Haruhiko ^b  

^a OKAYAMA UNIVERSITY   (Japan)

^b Osaka Prefecture University   (Japan)

Author keywords

Machine vision; Neural networks; Orange; Quality

Indexed keywords

COLOR; COLOR IMAGE PROCESSING; COMPUTER VISION; FEATURE EXTRACTION; GLOSS MEASUREMENT; IMAGE ANALYSIS; NEURAL NETWORKS; PH; QUALITY CONTROL; SURFACE ROUGHNESS; VIDEO CAMERAS;

FERET DIAMETER RATIO;

FRUITS;

EID: 0034306908     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1699(00)00141-1     Document Type: Conference Paper

References (9)

1. Textural features for image classification
2. Tracking of row structure in three crops using image analysis
3. Row-following accuracy of an automonous vision-guided agricultural vehicle
4. Image analysis for pruning of long wood grape vines