-
1
-
-
84894489738
-
-
A report of the expert consultation on viticulture in Asia and the Pacific. May 2000, Bankok, Thailand. RAP publication: 2000/13
-
A report of the expert consultation on viticulture in Asia and the Pacific. May 2000, Bankok, Thailand. RAP publication: 2000/13.
-
-
-
-
2
-
-
67549095377
-
Application of antagonistic fungi to control anthracnose disease of grape
-
May
-
K. Soytong, W. Srinon et.al. Application of antagonistic fungi to control anthracnose disease of grape Journal of Agricultural Technology May 2005.
-
(2005)
Journal of Agricultural Technology
-
-
Soytong, K.1
Srinon, W.2
-
3
-
-
79951504305
-
Grading method of leaf spot disease based on image processing
-
(December 12-14, 2008). CSSE. IEEE Computer Society, Washington, DC, 491-494. DOI
-
Weizheng, S., Yachun, W., Zhanliang, C., and Hongda, W. (2008). Grading Method of Leaf Spot Disease Based on Image Processing. In Proceedings of the 2008 international Conference on Computer Science and Software Engineering-Volume 06 (December 12-14, 2008). CSSE. IEEE Computer Society, Washington, DC, 491-494. DOI= http: //dx.doi.org/10.1109/CSSE.2008.1649.
-
(2008)
Proceedings of the 2008 International Conference on Computer Science and Software Engineering-Volume 06
-
-
Weizheng, S.1
Yachun, W.2
Zhanliang, C.3
Hongda, W.4
-
4
-
-
78651358531
-
Detection and classification of leaf diseases using k-means-based segmentation and neural-networks-based classification
-
DOI: 10.3923/itj.2011.267.275
-
Al-Bashish, D., M. Braik and S. Bani-Ahmad, (2011). Detection and classification of leaf diseases using K-means-based segmentation and neural-networks-based classification. Inform. Technol. J., 10: 267-275. DOI: 10.3923/itj.2011.267.275
-
(2011)
Inform. Technol. J.
, vol.10
, pp. 267-275
-
-
Al-Bashish, D.1
Braik, M.2
Bani-Ahmad, S.3
-
5
-
-
57449114907
-
An image processing based algorithm to automatically identify plant disease visual symptoms
-
January 2009, ISSN 1537-5110, DOI: 10.1016/j.biosystemseng.2008.09.030
-
Camargo, A. and Smith, J. S., (2009). An image processing based algorithm to automatically identify plant disease visual symptoms, Biosystems Engineering, Volume 102, Issue 1, January 2009, Pages 9-21, ISSN 1537-5110, DOI: 10.1016/j.biosystemseng.2008.09.030.
-
(2009)
Biosystems Engineering
, vol.102
, Issue.1
, pp. 9-21
-
-
Camargo, A.1
Smith, J.S.2
-
6
-
-
84891385529
-
Leaf disease grading by machine vision and fuzzy logic
-
Sanjeev S Sannakki, Vijay S Rajpurohit, V B Nargund, et.al (2011) Leaf Disease Grading by Machine Vision and Fuzzy Logic, Int. J. Comp. Tech. Appl., Vol 2 (5), 1709-1716
-
(2011)
Int. J. Comp. Tech. Appl.
, vol.2
, Issue.5
, pp. 1709-1716
-
-
Sannakki, S.S.1
Rajpurohit, V.S.2
Nargund, V.B.3
-
7
-
-
84856271453
-
Fast and accurate detection and classification of plant diseases
-
March
-
H. Al-Hiary, S. Bani-Ahmad, M. Reyalat, M. Braik and Z. ALRahamneh. Fast and Accurate Detection and Classification of Plant Diseases. International Journal of Computer Applications (0975-8887) Volume 17-No.1, March 2011
-
(2011)
International Journal of Computer Applications (0975-8887)
, vol.17
, Issue.1
-
-
Al-Hiary, H.1
Bani-Ahmad, S.2
Reyalat, M.3
Braik, M.4
Alrahamneh, Z.5
-
9
-
-
0025465145
-
Scale space and edge detection using anisotropic diffusion
-
July
-
Peitro Perona,Jitendra malik, scale space and edge detection using Anisotropic Diffusion, IEEE transactions on pattern analyses and machine intelligence, vol.12, no.7, July 1990.
-
(1990)
IEEE Transactions on Pattern Analyses and Machine Intelligence
, vol.12
, Issue.7
-
-
Perona, P.1
Malik, J.2
-
10
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
Macqueen, J.B.,1967. Some methods for classification and analysis of multivariate observations. Proc.Berkely Symp. Math. Statist. Prob., 1: 281-297.
-
(1967)
Proc.Berkely Symp. Math. Statist. Prob
, vol.1
, pp. 281-297
-
-
MacQueen, J.B.1
-
11
-
-
33646118990
-
Identification of citrus disease using color texture features and discriminant analysis
-
R. Pydipati, T.F. Burks, W.S.Lee. Identification of citrus disease using color texture features and discriminant analysis. Computers and Electronics in Agriculture 52 (2006) 49-59.
-
(2006)
Computers and Electronics in Agriculture
, vol.52
, pp. 49-59
-
-
Pydipati, R.1
Burks, T.F.2
Lee, W.S.3
-
12
-
-
0034564603
-
Artificial neural networks fundamentals, computing, design, and application
-
I.A. Basheer, M. Hajmeer, Artificial neural networks fundamentals, computing, design, and application, Journal of Microbiological Methods 43 (2000) 3-31.
-
(2000)
Journal of Microbiological Methods
, vol.43
, pp. 3-31
-
-
Basheer, I.A.1
Hajmeer, M.2
-
13
-
-
33947614142
-
Application of artificial neural network for detecting phalaenopsis seedling diseases using color and texture feature
-
Huang K.Y.Application of artificial neural network for detecting Phalaenopsis seedling diseases using color and texture feature. Computer and Electronics in agriculture. Pp. 3-11, 2007.
-
(2007)
Computer and Electronics in Agriculture
, pp. 3-11
-
-
Huang, K.Y.1
-
14
-
-
84978395672
-
-
Technical report, Department of Computer Science &Systems Engineering, Andhra University, India May 2010
-
Prasad Babu, M. S. and Srinivasa Rao, B. (2010) Leaves recognition using back-propagation neural network-Advice for pest and disease control on crops. Technical report, Department of Computer Science &Systems Engineering, Andhra University, India, www.indiakisan.net on May 2010.
-
(2010)
Leaves Recognition Using Back-propagation Neural Network-Advice for Pest and Disease Control on Crops
-
-
Prasad Babu, M.S.1
Srinivasa Rao, B.2
-
15
-
-
63149166446
-
Image pattern classification for the identification of disease causing agents in plants
-
A. Camago,J.S.Smith, Image pattern classification for the identification of disease causing agents in plants, Computers and Elecronics in Agriculture 66(2009) 121-125.
-
(2009)
Computers and Elecronics in Agriculture
, vol.66
, pp. 121-125
-
-
Camago, A.1
Smith, J.S.2
-
16
-
-
84894449080
-
-
http: //nhb.gov.in/fruits/grape/gra012.pdf, gra002.pdf
-
-
-
-
17
-
-
84894426676
-
-
ttp: //www.nrcgrapes.nic.in/zipfiles/GRAPE%20PROFILE%20-%20NRC%20Grapes. pdf
-
-
-
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