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Volumn 20, Issue 1, 2014, Pages

Oil palm fruit grading using a hyperspectral device and machine learning algorithm

Author keywords

[No Author keywords available]

Indexed keywords

FRUITS; GRADING; LEARNING ALGORITHMS; NEURAL NETWORKS; OIL SHALE; REMOTE SENSING;

EID: 84906544871     PISSN: 17551307     EISSN: 17551315     Source Type: Conference Proceeding    
DOI: 10.1088/1755-1315/20/1/012017     Document Type: Conference Paper
Times cited : (36)

References (33)
  • 1
    • 33947420010 scopus 로고    scopus 로고
    • Properties and utilization of palm kernel oil
    • 0127-3329
    • Pantzaris, T P; Ahmad, M J 2001 Properties and utilization of palm kernel oil. Palm Oil Developments 35 11-23
    • (2001) Palm Oil Developments , vol.35 , pp. 11-23
    • Pantzaris, T.P.1    Ahmad, M.J.2
  • 3
    • 84868257617 scopus 로고    scopus 로고
    • Intelligent Color Vision System for Ripeness Classification of Oil Palm Fresh Fruit Bunch
    • 10.3390/s121014179 1424-8220
    • Fadilah, N; Mohamad-Saleh, J; Abdul Halim, Z; Ibrahim, H; Syed Ali, S S 2012 Intelligent Color Vision System for Ripeness Classification of Oil Palm Fresh Fruit Bunch Sensors 12 (10) 14179-14195
    • (2012) Sensors , vol.12 , Issue.12 , pp. 14179-14195
    • Fadilah, N.1    Mohamad-Saleh, J.2    Abdul Halim, Z.3    Ibrahim, H.4    Syed Ali, S.S.5
  • 6
    • 77649296528 scopus 로고    scopus 로고
    • In Automated grading of palm oil fresh fruit bunches (FFB) using neuro-fuzzy technique, Soft Computing and Pattern Recognition, 2009. SOCPAR'09
    • Jamil, N; Mohamed, A; Abdullah, S 2009 In Automated grading of palm oil fresh fruit bunches (FFB) using neuro-fuzzy technique, Soft Computing and Pattern Recognition, 2009. SOCPAR'09 International Conference of, 2009; IEEE: p 245-249
    • (2009) International Conference Of, 2009; IEEE , pp. 245-249
    • Jamil, N.1    Mohamed, A.2    Abdullah, S.3
  • 8
  • 9
    • 84874055054 scopus 로고    scopus 로고
    • The application of internal grading system technologies for agricultural products -Review
    • 10.1016/j.jfoodeng.2013.01.001 0260-8774
    • Alfatni, M S M; Shariff, A R M; Abdullah, M Z; Marhaban, M H B; Saaed, O M B 2013 The application of internal grading system technologies for agricultural products -Review J. food engineering 116 (3) 703-725
    • (2013) J. Food Engineering , vol.116 , Issue.3 , pp. 703-725
    • Alfatni, M.S.M.1    Shariff, A.R.M.2    Abdullah, M.Z.3    Marhaban, M.H.B.4    Saaed, O.M.B.5
  • 10
    • 29544446381 scopus 로고    scopus 로고
    • Recent developments in noninvasive techniques for fresh fruit and vegetable internal quality analysis
    • 10.1111/j.1365-2621.2005.tb08328.x 0022-1147
    • Butz, P; Hofmann, C; Tauscher, B 2005 Recent developments in noninvasive techniques for fresh fruit and vegetable internal quality analysis J. food science 70 (9) R131-R141
    • (2005) J. Food Science , vol.70 , Issue.9
    • Butz, P.1    Hofmann, C.2    Tauscher, B.3
  • 11
    • 79956055883 scopus 로고    scopus 로고
    • Quality inspection and grading of agricultural and food products by computer vision-A Review
    • Narendra, V G; Hareesh, K S 2010 Quality inspection and grading of agricultural and food products by computer vision-A Review Int. J. Comput. Appl. IJCA 2 (1) 43-65
    • (2010) Int. J. Comput. Appl. IJCA , vol.2 , Issue.1 , pp. 43-65
    • Narendra, V.G.1    Hareesh, K.S.2
  • 12
    • 0002063481 scopus 로고
    • A review of non-destructive methods for quality evaluation and sorting of agricultural products
    • 10.1016/0021-8634(91)80030-I 0021-8634
    • Chen, P; Sun, Z 1991 A review of non-destructive methods for quality evaluation and sorting of agricultural products J. Agricultural Eng. Research 49 85-98
    • (1991) J. Agricultural Eng. Research , vol.49 , pp. 85-98
    • Chen, P.1    Sun, Z.2
  • 13
    • 68449103516 scopus 로고    scopus 로고
    • Supervised multivariate analysis of hyper-spectral NIR images to evaluate the starch index of apples
    • 10.1007/s11947-008-0120-8 1935-5130
    • Menesatti, P; Zanella, A; DâAndrea, S; Costa, C; Paglia, G; Pallottino, F 2009 Supervised multivariate analysis of hyper-spectral NIR images to evaluate the starch index of apples Food Bioprocess Technol. 2 (3) 308-314
    • (2009) Food Bioprocess Technol. , vol.2 , Issue.3 , pp. 308-314
    • Menesatti, P.1    Zanella, A.2    Dâandrea, S.3    Costa, C.4    Paglia, G.5    Pallottino, F.6
  • 16
    • 0035673080 scopus 로고    scopus 로고
    • Stepwise discriminant analysis for colour grading of oil palm using machine vision system
    • 10.1205/096030801753252298 0960-3085
    • Abdullah, M Z; Guan, L C; Mohd Azemi, B M N 2001 Stepwise discriminant analysis for colour grading of oil palm using machine vision system Food bioproducts processing 79 (4) 223-231
    • (2001) Food Bioproducts Processing , vol.79 , Issue.4 , pp. 223-231
    • Abdullah, M.Z.1    Guan, L.C.2    Mohd Azemi, B.M.N.3
  • 17
    • 0036692858 scopus 로고    scopus 로고
    • Color vision system for ripeness inspection of oil palm Elaeis guineensis
    • 10.1111/j.1745-4549.2002.tb00481.x 0145-8892
    • Abdullah, M Z; Guan, L I M C; Mohamed, A; Noor, M A M 2002 Color vision system for ripeness inspection of oil palm Elaeis guineensis J. food processing preservation 26 (3) 213-235
    • (2002) J. Food Processing Preservation , vol.26 , Issue.3 , pp. 213-235
    • Abdullah, M.Z.1    Guan, L.I.M.C.2    Mohamed, A.3    Noor, M.A.M.4
  • 21
    • 0036508375 scopus 로고    scopus 로고
    • Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis
    • Mehl, P; Chao, K; Kim, M; Chen, Y 2002 Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis Appl. engineering agriculture 18 (2) 219-226
    • (2002) Appl. Engineering Agriculture , vol.18 , Issue.2 , pp. 219-226
    • Mehl, P.1    Chao, K.2    Kim, M.3    Chen, Y.4
  • 22
    • 0000581356 scopus 로고
    • An introduction to kernel and nearest-neighbor nonparametric regression
    • Altman, N 1992 An introduction to kernel and nearest-neighbor nonparametric regression American Statistician 175-185
    • (1992) American Statistician , pp. 175-185
    • Altman, N.1
  • 23
    • 0042192001 scopus 로고    scopus 로고
    • The applications of computer vision system and tomographic radar imaging for assessing physical properties of food
    • 10.1016/S0260-8774(03)00194-8 0260-8774
    • Abdullah, M Z; Guan, L C; Lim, K C; Karim, A A 2004 The applications of computer vision system and tomographic radar imaging for assessing physical properties of food J. Food Eng. 61 (1) 125-135
    • (2004) J. Food Eng. , vol.61 , Issue.1 , pp. 125-135
    • Abdullah, M.Z.1    Guan, L.C.2    Lim, K.C.3    Karim, A.A.4
  • 24
    • 79952084955 scopus 로고    scopus 로고
    • Leg motion classification with artificial neural networks using wavelet-based features of gyroscope signals
    • 10.3390/s110201721 1424-8220
    • Ayrulu-Erdem, B; Barshan, B 2011 Leg motion classification with artificial neural networks using wavelet-based features of gyroscope signals Sensors 11 (2) 1721-1743
    • (2011) Sensors , vol.11 , Issue.12 , pp. 1721-1743
    • Ayrulu-Erdem, B.1    Barshan, B.2
  • 25
    • 84857530416 scopus 로고    scopus 로고
    • Performance Study of the Application of Artificial Neural Networks to the Completion and Prediction of Data Retrieved by Underwater Sensors
    • 10.3390/s120201468 1424-8220
    • BaladrÃn, C; Aguiar, J M; Calavia, L; Carro, B n; SÃnchez- Esguevillas, A; HernÃjndez, L 2 2012 Performance Study of the Application of Artificial Neural Networks to the Completion and Prediction of Data Retrieved by Underwater Sensors Sensors 12 1468-1481
    • (2012) Sensors , vol.12 , Issue.12 , pp. 1468-1481
    • Baladrãn, C.1    Aguiar, J.M.2    Calavia, L.3    Carro, B.N.4    Sãnchez- Esguevillas, A.5    Hernãjndez, L.6
  • 26
    • 79959824303 scopus 로고    scopus 로고
    • Robust crop and weed segmentation under uncontrolled outdoor illumination
    • 10.3390/s110606270 1424-8220
    • Jeon, H Y; Tian, L F; Zhu, H 2011 Robust crop and weed segmentation under uncontrolled outdoor illumination Sensors 11 (6) 6270-6283
    • (2011) Sensors , vol.11 , Issue.12 , pp. 6270-6283
    • Jeon, H.Y.1    Tian, L.F.2    Zhu, H.3
  • 27
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • 10.1016/S0031-3203(96)00142-2 0031-3203
    • Bradley, A P 1997 The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recognition 30 (7) 11451159
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145
    • Bradley, A.P.1
  • 29
    • 80053056184 scopus 로고    scopus 로고
    • A new approach for noise reduction in spine radiograph images using a non-linear contrast adjustment scheme based adaptive factor
    • Mustapha, A; Hussain, A; Samad, S A 2011 A new approach for noise reduction in spine radiograph images using a non-linear contrast adjustment scheme based adaptive factor. Sci. Res. Essays 6 (20) 4246-4258
    • (2011) Sci. Res. Essays , vol.6 , Issue.20 , pp. 4246-4258
    • Mustapha, A.1    Hussain, A.2    Samad, S.A.3
  • 30
    • 30144440914 scopus 로고    scopus 로고
    • Receiver operating characteristics curves and related decision measures: A tutorial
    • 10.1016/j.chemolab.2005.05.004 0169-7439
    • Brown, C D; Davis, H T 2006 Receiver operating characteristics curves and related decision measures: A tutorial Chemometrics Intelligent Laboratory Syst. 80 (1) 24-38
    • (2006) Chemometrics Intelligent Laboratory Syst. , vol.80 , Issue.1 , pp. 24-38
    • Brown, C.D.1    Davis, H.T.2
  • 31
    • 51549120774 scopus 로고    scopus 로고
    • Evaluation of ANN Classifiers during Supervised Training with ROC Analysis and Cross Validation, BioMedical Engineering and Informatics, 2008. BMEI 2008
    • Sovierzoski, M A; Argoud, F I M; de Azevedo, F M 2008 In Evaluation of ANN Classifiers During Supervised Training with ROC Analysis and Cross Validation, BioMedical Engineering and Informatics, 2008. BMEI 2008 International Conference on, 2008 (IEEE) p 274-278
    • (2008) International Conference On, 2008 , pp. 274-278
    • Sovierzoski, M.A.1    Argoud, F.I.M.2    De Azevedo, F.M.3
  • 32
    • 0033916840 scopus 로고    scopus 로고
    • Receiver operating characteristic analysis for intelligent medical systems - A new approach for finding confidence intervals
    • 10.1109/10.846690 0018-9294
    • Tilbury, J B; Van Eetvelt, W J; Garibaldi, J M; Curnsw, J S H; Ifeachor, E C 2000 Receiver operating characteristic analysis for intelligent medical systems-a new approach for finding confidence intervals Biomedical Eng., IEEE Trans. on 47 (7) 952-963
    • (2000) Biomedical Eng., IEEE Trans. on , vol.47 , Issue.7 , pp. 952-963
    • Tilbury, J.B.1    Van Eetvelt, W.J.2    Garibaldi, J.M.3    Curnsw, J.S.H.4    Ifeachor, E.C.5
  • 33
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • 10.1016/j.patrec.2005.10.010 0167-8655
    • Fawcett, T 2006 An introduction to ROC analysis Pattern recognition letters 27 (8) 861-874
    • (2006) Pattern Recognition Letters , vol.27 , Issue.8 , pp. 861-874
    • Fawcett, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.