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Volumn , Issue , 2016, Pages 970-975

Fruit disease detection using color, texture analysis and ANN

Author keywords

Artificial Neural Network; K means clustering; OpenCV; SURF

Indexed keywords

AGRICULTURE; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; FRUITS; IMAGE PROCESSING; IMAGE SEGMENTATION; INTERNET; INTERNET OF THINGS; NEURAL NETWORKS; PATTERN MATCHING;

EID: 84966659493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICGCIoT.2015.7380603     Document Type: Conference Paper
Times cited : (60)

References (18)
  • 10
    • 84966644657 scopus 로고    scopus 로고
    • Image processing and machine learning for automated fruit grading system: A technical review
    • November
    • Rashmi Pandey, Sapan Naik, Roma Marfatia "Image Processing and Machine Learning for Automated Fruit Grading System: A Technical Review" International Journal of Computer Applications (0975-8887) Volume 81-No 16, November 2013.
    • (2013) International Journal of Computer Applications (0975-8887) , vol.81 , Issue.16
    • Pandey, R.1    Naik, S.2    Marfatia, R.3
  • 17
    • 84870684543 scopus 로고    scopus 로고
    • Advances in image processing for detection of plant disease
    • June
    • Jayamala K. Patil, Raj Kumar "Advances in Image Processing for Detection of Plant Disease" Journal of Advanced Bioinformatics Applications and Research ISSN 0976-2604 Vol. 2, Issue 2, June-2011, pp 135-141.
    • (2011) Journal of Advanced Bioinformatics Applications and Research , vol.2 , Issue.2 , pp. 135-141
    • Patil, J.K.1    Kumar, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.