19.6.3.6.2 Fruit Detection, Fruit Inspection, Apples, Oranges

Chapter Contents (Back)
Fruit. Application, Fruit.

Tao, Y.,
Spherical Transform of Fruit Images for Online Defect Extraction of Mass Objects,
OptEng(35), No. 2, February 1996, pp. 344-350. BibRef 9602

Grasso, G.M., Recce, M.,
Scene Analysis for An Orange Harvesting Robot,
AIApp(11), No. 3, 1997, pp. 9-15. 9802
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Recce, M.[Michael], Plebe, A.[Alessio], Tropiano, G.[Giuseppe], Taylor, J.[John],
Video Grading of Oranges in Real-Time,
AIR(12), No. 1-3, February 1998, pp. 117-136.
WWW Link. 1208
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Plebe, A.[Alessio], Grasso, G.M.[Giorgio M.],
Localization of spherical fruits for robotic harvesting,
MVA(13), No. 2 2001, pp. 70-79.
HTML Version. 0201
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Harrell, R.C., Slaughter, D.C., Adsit, P.D.,
A fruit-tracking system for robotic harvesting,
MVA(2), No. 2, 1989, pp. 69-80. BibRef 8900

Jiménez, A.R., Jain, A.K., Ceres, R., Pons, J.L.,
Automatic fruit recognition: A survey and new results using Range/Attenuation images,
PR(32), No. 10, October 1999, pp. 1719-1736.
Elsevier DOI Survey, Inspection. BibRef 9910

Jiménez, A.R., Ceres, R., Pons, J.L.,
A vision system based on a laser range-finder applied to robotic fruit harvesting,
MVA(11), No. 6, 2000, pp. 321-329.
HTML Version. 0005
BibRef

Zou, X.B.[Xiao-Bo], Zhao, J.W.[Jie-Wen], Li, Y.X.[Yan-Xiao],
Apple color grading based on organization feature parameters,
PRL(28), No. 15, 1 November 2007, pp. 2046-2053.
Elsevier DOI 0711
Apple; Quality evaluation; Genetic algorithm; Organization feature parameter BibRef

Anami, B.S.[Basavaraj S.], Burkpalli, V.C.[Vishwanath C.],
Recognition and classification of images of fruits' juices based on 3-Sigma approach,
IJCVR(1), No. 2, 2010, pp. 206-217.
DOI Link 1011
BibRef

Kapach, K.[Keren], Barnea, E.[Ehud], Mairon, R.[Rotem], Edan, Y.[Yael], Ben-Shahar, O.[Ohad],
Computer vision for fruit harvesting robots: State of the art and challenges ahead,
IJCVR(3), No. 1-2, 2012, pp. 4-34.
DOI Link 1204
BibRef

Liu, S.G.[Shi-Guang], Fan, D.F.[Dong-Fang],
Computer Modeling and Simulation of Fruit Sunscald,
IJIG(15), No. 03, 2015, pp. 1550013.
DOI Link 1506
BibRef

Bohl, E.[Evans], Terraz, O.[Olivier], Ghazanfarpour, D.[Djamchid],
Modeling fruits and their internal structure using parametric 3Gmap L-systems,
VC(31), No. 6-8, June 2015, pp. 819-829.
WWW Link. 1506
BibRef

Dubey, S.R.[Shiv Ram], Jalal, A.S.[Anand Singh],
Apple disease classification using color, texture and shape features from images,
SIViP(10), No. 5, May 2016, pp. 819-826.
WWW Link. 1608
BibRef

Chaw, J.K.[Jun-Kit], Mokji, M.[Musa],
Analysis of produce recognition system with taxonomist's knowledge using computer vision and different classifiers,
IET-IPR(11), No. 3, March 2017, pp. 173-182.
DOI Link 1703
BibRef


Cornejo, J.Y.R.[Jadisha Yarif Ramírez], Pedrini, H.[Helio],
Automatic Fruit and Vegetable Recognition Based on CENTRIST and Color Representation,
CIARP16(76-83).
Springer DOI 1703
BibRef

Puttemans, S.[Steven], Vanbrabant, Y., Tits, L., Goedemé, T.[Toon],
Automated visual fruit detection for harvest estimation and robotic harvesting,
IPTA16(1-6)
IEEE DOI 1703
control engineering computing BibRef

Kadmiry, B., Wong, C.K.[Chee Kit],
Perception scheme for fruits detection in trees for autonomous agricultural robot applications,
ICVNZ15(1-6)
IEEE DOI 1701
agriculture BibRef

Zhang, M.[Meng], Lee, D.J.[Dah-Jye],
Global Evolution-Constructed Feature for Date Maturity Evaluation,
ISVC16(II: 281-290).
Springer DOI 1701
BibRef
And:
Efficient Training of Evolution-Constructed Features,
ISVC15(II: 646-654).
Springer DOI 1601
BibRef

Janssens, E.[Eline], De Beenhouwer, J.[Jan], Van Dael, M.[Mattias], Verboven, P.[Pieter], Nicolai, B.[Bart], Sijbers, J.[Jan],
Neural netwok based X-ray tomography for fast inspection of apples on a conveyor belt system,
ICIP15(917-921)
IEEE DOI 1512
Inline tomography; artificial neural networks; filtered backprojection BibRef

Elfiky, N.M.[Noha M.], Akbar, S.A.[Shayan A.], Sun, J.X.[Jian-Xin], Park, J.[Johnny], Kak, A.[Avinash],
Automation of dormant pruning in specialty crop production: An adaptive framework for automatic reconstruction and modeling of apple trees,
PBVS15(65-73)
IEEE DOI 1510
Adaptation models BibRef

Kuang, H.L.[Hu-Lin], Chan, L.L.H., Yan, H.[Hong],
Multi-class fruit detection based on multiple color channels,
ICWAPR15(1-7)
IEEE DOI 1511
agricultural products BibRef

López-García, F.[Fernando], Andreu-García, G.[Gabriela],
Detection of Visual Defects in Citrus Fruits: Multivariate Image Analysis vs Graph Image Segmentation,
CAIP13(237-244).
Springer DOI 1308
BibRef

Roy, A., Banerjee, S., Roy, D., Mukhopadhyay, A.,
Statistical Video Tracking of Pomegranate Fruits,
NCVPRIPG11(227-230).
IEEE DOI 1205
BibRef

Iqbal, S.M., Gopal, A., Sarma, A.S.V.,
Volume estimation of apple fruits using image processing,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Gatica, C.G.[C. Gabriel], Best, S.S.[S. Stanley], Ceroni, J.[José], Lefranc, G.[Gaston],
A New Method for Olive Fruits Recognition,
CIARP11(646-653).
Springer DOI 1111
BibRef

Mao, W.H.[Wen-Hua], Ji, B.P.[Bao-Ping], Zhan, J.C.[Ji-Cheng], Zhang, X.C.[Xiao-Chao], Hu, X.A.[Xiao-An],
Apple Location Method for the Apple Harvesting Robot,
CISP09(1-5).
IEEE DOI 0910
BibRef

Messner, W.[William], Kliethermes, B.,
Augmented Fruit Harvesting,
CMU-RI-TR-09-20, June, 2009.
WWW Link. 1102
BibRef

Wijethunga, P., Samarasinghe, S., Kulasiri, D., Woodhead, I.,
Towards a generalized colour image segmentation for kiwifruit detection,
IVCNZ09(62-66).
IEEE DOI 0911
BibRef
Earlier:
Digital image analysis based automated kiwifruit counting technique,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Kaewapichai, W.[Watcharin], KaewTrakulPong, P.[Pakorn], Prateepasen, A.[Asa], Khongkraphan, K.[Kittiya],
Fitting a Pineapple Model for Automatic Maturity Grading,
ICIP07(I: 257-260).
IEEE DOI 0709
BibRef

Chalidabhongse, T.H., Yimyam, P., Sirisomboon, P.,
2D/3D Vision-Based Mango's Feature Extraction and Sorting,
ICARCV06(1-6).
IEEE DOI 0612
Sort mangos using detected features. BibRef

Ye, L.[Lei], Cao, L.Z.[Ling-Zhi], Ogunbona, P.[Philip], Li, W.Q.[Wan-Qing],
Description of Evolutional Changes in Image Time Sequences Using MPEG-7 Visual Descriptors,
VLBV05(189-197).
Springer DOI 0509
Fruit rotting is the example. BibRef

Martínez-Usó, A.[Adolfo], Pla, F.[Filiberto], García-Sevilla, P.[Pedro],
Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation,
IbPRIA05(II:689).
Springer DOI 0509
BibRef

Laemmer, E., Deruyver, A., Sowinska, M.,
Watershed and adaptive pyramid for determining the apple's maturity state,
ICIP02(I: 789-792).
IEEE DOI 0210
BibRef

Aleixos, N., Blasco, J., Moltó, E., Navarrón, F.,
Assessment of Citrus Fruit Quality Using a Real-time Machine Vision System,
ICPR00(Vol I: 482-485).
IEEE DOI 0009
BibRef

Jiménez, A.R., Ceres, R., Pons, J.L.,
A Machine Vision System Using a Laser Radar Applied to Robotic Fruit Harvesting,
CVBVS99(110).
IEEE DOI BibRef 9900

Fernandez-Maloigne, C., and Laugier, D.,
Automatic Apples Detection for an Agricultural Robot,
IAS93(xx-yy). Recognize Apples. BibRef 9300

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Plants, Flowers, Flower Shape, Flower Color .


Last update:Jun 24, 2017 at 21:08:28